{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\ddoherty\Dropbox\My Work Documents\Field v. Survey Experiment Paper\Replication Archive\replication_log.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}16 Nov 2018, 13:44:17

{com}. do "C:\Temp\STD05000000.tmp"
{txt}
{com}. ******ANALYSIS FILE****
. clear all
{txt}
{com}. set mem 500m
{txt}{bf:set memory} ignored.
{p 4 4 2}
Memory no longer
needs to be set in modern Statas;
memory adjustments are performed on the fly
automatically.
{p_end}

{com}. //cd "C:\Users\David\Dropbox\My Work Documents\Field v. Survey Experiment Paper\Replication Archive"
. cd "C:\Users\ddoherty\Dropbox\My Work Documents\Field v. Survey Experiment Paper\Replication Archive"
{res}C:\Users\ddoherty\Dropbox\My Work Documents\Field v. Survey Experiment Paper\Replication Archive
{txt}
{com}. ****USE MASTER FIELD EXP. DATA FILE
. use "field_experiments_replication_data.dta", clear
{txt}
{com}. 
. *drop .03% of cases where no record of voting in past 4 GEs according to post-election voter file (not used in Field Experiments as originally reported)
. drop if voterscoregeneral==0
{txt}(7 observations deleted)

{com}. 
. **generate IDs for individual voters
. gen respid=_n+1000
{txt}
{com}. 
. ** relationship between contact and turnout noted in second to last paragraph of article
. reg voted contact

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}    20,146
{txt}{hline 13}{c +}{hline 34}   F(1, 20144)     = {res}    51.97
{txt}       Model {c |} {res} 7.18136102         1  7.18136102   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 2783.75744    20,144  .138192883   {txt}R-squared       ={res}    0.0026
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0025
{txt}       Total {c |} {res}  2790.9388    20,145  .138542507   {txt}Root MSE        =   {res} .37174

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       voted{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}contact {c |}{col 14}{res}{space 2} .0649854{col 26}{space 2} .0090148{col 37}{space 1}    7.21{col 46}{space 3}0.000{col 54}{space 4} .0473157{col 67}{space 3} .0826551
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .8278146{col 26}{space 2} .0027502{col 37}{space 1}  301.00{col 46}{space 3}0.000{col 54}{space 4}  .822424{col 67}{space 3} .8332052
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg voted contact_2

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}    25,115
{txt}{hline 13}{c +}{hline 34}   F(1, 25113)     = {res}    30.80
{txt}       Model {c |} {res} 4.38815384         1  4.38815384   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 3577.77932    25,113  .142467221   {txt}R-squared       ={res}    0.0012
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0012
{txt}       Total {c |} {res} 3582.16747    25,114  .142636277   {txt}Root MSE        =   {res} .37745

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       voted{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}contact_2 {c |}{col 14}{res}{space 2} .0517392{col 26}{space 2} .0093226{col 37}{space 1}    5.55{col 46}{space 3}0.000{col 54}{space 4} .0334664{col 67}{space 3} .0700119
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .8240408{col 26}{space 2}   .00247{col 37}{space 1}  333.62{col 46}{space 3}0.000{col 54}{space 4} .8191994{col 67}{space 3} .8288821
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. ***RECODE OUTCOME MEASURE (for Field Exp. 1)
. recode liklihood_fe1 (1=4) (2=3) (3=2) (4=1) (*=.), gen(likely_to_vote)
{txt}(1650 differences between liklihood_fe1 and likely_to_vote)

{com}. label var likely_to_vote "Intent to Vote (1=Definitely not; 4=Definitely will)"
{txt}
{com}. 
. *** TREATMENT INDICATORS
. tab treat, gen(treat_)

      {txt}treat {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      7,042       33.32       33.32
{txt}          1 {c |}{res}      7,051       33.36       66.68
{txt}          2 {c |}{res}      7,042       33.32      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}     21,135      100.00
{txt}
{com}. drop treat_1
{txt}
{com}. rename treat_2 treat_pos
{res}{txt}
{com}. rename treat_3 treat_neg
{res}{txt}
{com}. label var treat_pos "Positive Mailer Treatment"
{txt}
{com}. label var treat_neg "Negative Mailer Treatment"
{txt}
{com}. 
. **Senate District Indicators
. tab sdname, gen(dist_)

     {txt}sdname {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         19 {c |}{res}     10,023       38.23       38.23
{txt}         26 {c |}{res}     11,112       42.38       80.61
{txt}         35 {c |}{res}      5,083       19.39      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}     26,218      100.00
{txt}
{com}. drop dist_1
{txt}
{com}. rename dist_2 dist_26
{res}{txt}
{com}. rename dist_3 dist_35
{res}{txt}
{com}. //Drop cases from CO Senate District 35 (see note to Table 1)
. drop if dist_35
{txt}(5,083 observations deleted)

{com}. label var dist_26 "District 26 (1=yes)"
{txt}
{com}. 
. ******************************************
. *** output FIELD EXPERIMENT 1 sample. 
. ******************************************
. preserve
{txt}
{com}. //Only keep cases surveyed in first field experiment 
. reg likely_to_vote  if contact==1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,650
{txt}{hline 13}{c +}{hline 34}   F(0, 1649)      = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res} 771.117576     1,649  .467627396   {txt}R-squared       ={res}    0.0000
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0000
{txt}       Total {c |} {res} 771.117576     1,649  .467627396   {txt}Root MSE        =   {res} .68383

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}likely_to_~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_cons {c |}{col 14}{res}{space 2} 3.747879{col 26}{space 2} .0168348{col 37}{space 1}  222.63{col 46}{space 3}0.000{col 54}{space 4} 3.714859{col 67}{space 3} 3.780899
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. keep if e(sample)
{txt}(19,485 observations deleted)

{com}. //drop respondents who did not affirm that they were reigstered to vote
. drop if registered_fe1==2 | registered_fe1==0 |registered_fe1==.
{txt}(110 observations deleted)

{com}. keep respid treat_neg treat_pos likely_to_vote dist_26 voted
{txt}
{com}. //generate variable to identify experiment (1 = Field Exp. 1)
. gen exp=1
{txt}
{com}. save "scratch_data\fe_1.dta", replace
{txt}file scratch_data\fe_1.dta saved

{com}. restore
{txt}
{com}. 
. ***RECODE OUTCOME MEASURE (for Field Exp. 2)
. //first drop FE 1 outcome measure
. drop likely_to_vote
{txt}
{com}. recode liklihood (1=4) (2=3) (3=2) (4=1) (*=.), gen(likely_to_vote)
{txt}(1403 differences between liklihood and likely_to_vote)

{com}. label var likely_to_vote "Intent to Vote (1=Definitely not; 4=Definitely will)"
{txt}
{com}. 
. *** TREATMENT INDICATORS for SECOND EXPERIMENT 
. //GENERATE INDICATORS for TREATMENT ASSIGNMENT FROM FIELD EXPERIMENT 1 FOR FIELD EXPERIMENT 2 OBSERVATIONS (Note: Same pool of voters targeted in FE 1 and FE 2; Doherty and Adler find no evidence of FE 1 treatment FX enduring to FE 2)
. rename treat_pos first_treat_pos
{res}{txt}
{com}. rename treat_neg first_treat_neg
{res}{txt}
{com}. replace first_treat_pos=0 if first_treat_pos==.
{txt}(0 real changes made)

{com}. replace first_treat_neg=0 if first_treat_neg==.
{txt}(0 real changes made)

{com}. label var first_treat_pos "Positive Mailer Treatment (1st round)"
{txt}
{com}. label var first_treat_neg "Negative Mailer Treatment (1st round)"
{txt}
{com}. 
. //THEN GENERATE INDICATORS FOR TREATMENT ASSIGNMENT IN FIELD EXPERIMENT 2
. tab treat_new, gen(treat_)

  {txt}treat_new {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      5,282       24.99       24.99
{txt}          1 {c |}{res}      5,285       25.01       50.00
{txt}          2 {c |}{res}      5,282       24.99       74.99
{txt}          3 {c |}{res}      5,286       25.01      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}     21,135      100.00
{txt}
{com}. drop treat_1
{txt}
{com}. rename treat_2 treat_pos
{res}{txt}
{com}. rename treat_3 treat_neg
{res}{txt}
{com}. rename treat_4 treat_con
{res}{txt}
{com}. label var treat_pos "Positive Mailer Treatment"
{txt}
{com}. label var treat_neg "Negative Mailer Treatment"
{txt}
{com}. 
. //DROP RESPONDENTS ASSIGNED TO "CONTRAST MAILER" CONDITION in FE 2 (SEE Note to Table 1)
. drop if treat_con==1
{txt}(5,286 observations deleted)

{com}. 
. *** SAMPLE RESTRICTION FOR FIELD EXPERIMENT 2. 
. //restrict to those contacted w/Outcome measure available
. reg likely_to_vote if contact_2==1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       949
{txt}{hline 13}{c +}{hline 34}   F(0, 948)       = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res} 425.283456       948  .448611241   {txt}R-squared       ={res}    0.0000
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0000
{txt}       Total {c |} {res} 425.283456       948  .448611241   {txt}Root MSE        =   {res} .66978

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}likely_to_~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_cons {c |}{col 14}{res}{space 2} 3.782929{col 26}{space 2} .0217421{col 37}{space 1}  173.99{col 46}{space 3}0.000{col 54}{space 4} 3.740261{col 67}{space 3} 3.825598
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. keep if e(sample)
{txt}(14,900 observations deleted)

{com}. //as in Doherty/Adler 2014, drop observations where telephone respondent did not confirm they were registered to vote
. drop if registered==2 | registered==0 |registered==.
{txt}(48 observations deleted)

{com}. //drop variables not needed for analysis
. keep respid treat_neg treat_pos first_treat_pos first_treat_neg likely_to_vote dist_26 voted
{txt}
{com}. //generate variable to identify experiment (2 = Field Exp. 2)
. gen exp=2
{txt}
{com}. append using "scratch_data\fe_1.dta"
{txt}
{com}. label var voted "Validated Turnout (1=yes)"
{txt}
{com}. save "scratch_data\fe_data.dta", replace
{txt}file scratch_data\fe_data.dta saved

{com}. 
. //APPENDIX Table A1: Relationship between Intent to Turnout and Validated Turnout: Field Experiments
. table likely_to_vote exp, c(mean voted)

{txt}{hline 10}{c TT}{hline 17}
Intent to {c |}
Vote      {c |}
(1=Defini {c |}
tely not; {c |}
4=Definit {c |}       exp       
ely will) {c |}       1        2
{hline 10}{c +}{hline 17}
        1 {c |}     {res}.85  .333333
        {txt}2 {c |} {res}.849057  .685714
        {txt}3 {c |} {res}.815217     .875
        {txt}4 {c |} {res}.924117  .922597
{txt}{hline 10}{c BT}{hline 17}

{com}. //statistically significant relationships
. pwcorr voted likely_to_vote if exp==1, sig

             {txt}{c |}    voted likely~e
{hline 13}{c +}{hline 18}
       voted {c |} {res}  1.0000 
             {txt}{c |}
             {c |}
likely_to_~e {c |} {res}  0.0868   1.0000 
             {txt}{c |}{res}   0.0008
             {txt}{c |}

{com}. pwcorr voted likely_to_vote if exp==2, sig

             {txt}{c |}    voted likely~e
{hline 13}{c +}{hline 18}
       voted {c |} {res}  1.0000 
             {txt}{c |}
             {c |}
likely_to_~e {c |} {res}  0.2426   1.0000 
             {txt}{c |}{res}   0.0000
             {txt}{c |}

{com}. 
. 
. ****************************************
. ****** MTURK EXPERIMENT ****************
. ****************************************
. use "mturk_replication_data.dta", clear
{txt}
{com}. 
. keep yob educ income r_* female pid_stem turnout_2008 turnout_2010 likely_to_vote condition image reg_vote already_voted mail_last_month respid pid_lean
{txt}
{com}. 
. 
. ** DEMOGRAPHICS
. gen age=2012-yob
{txt}(36 missing values generated)

{com}. label var age "Age (in years)"
{txt}
{com}. 
. label var educ "Education (1=No HS; 6=post-grad)"
{txt}
{com}. gen income_mis=income==15
{txt}
{com}. label var income "Income (1-14; 15=RF)"
{txt}
{com}. label var income_mis "Income Refused"
{txt}
{com}. 
. foreach i in white black hispanic asian nativeam mixed other{c -(}
{txt}  2{com}.  replace r_`i'=0 if r_`i'==.
{txt}  3{com}.  replace r_`i'=1 if r_`i'!=0
{txt}  4{com}.  label var r_`i' "`i' = 1"
{txt}  5{com}. {c )-}
{txt}(256 real changes made)
(0 real changes made)
(1,034 real changes made)
(79 real changes made)
(1,045 real changes made)
(68 real changes made)
(1,009 real changes made)
(104 real changes made)
(1,098 real changes made)
(15 real changes made)
(1,098 real changes made)
(15 real changes made)
(1,105 real changes made)
(8 real changes made)

{com}. replace r_other=r_asian+r_nativeam+r_mixed+r_other
{txt}(129 real changes made)

{com}. replace r_other=1 if r_other>1
{txt}(6 real changes made)

{com}. label var r_other "Other race=1"
{txt}
{com}. label var r_white "White = 1"
{txt}
{com}. label var r_black "Black = 1"
{txt}
{com}. label var r_hispanic "Hispanic = 1"
{txt}
{com}. drop r_asian r_nativeam r_mixed 
{txt}
{com}. 
. label var female "Female=1"
{txt}
{com}. 
. ** Political Pre-treatment
. tab pid_stem, gen(pid_)

   {txt}pid_stem {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        533       48.59       48.59
{txt}          2 {c |}{res}        175       15.95       64.54
{txt}          3 {c |}{res}        351       32.00       96.54
{txt}          4 {c |}{res}         38        3.46      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,097      100.00
{txt}
{com}. rename pid_1 democrat
{res}{txt}
{com}. label var democrat "Democrat (1=yes)"
{txt}
{com}. rename pid_2 republican
{res}{txt}
{com}. label var republican "Republican (1=yes)"
{txt}
{com}. gen independent=pid_3+pid_4
{txt}(16 missing values generated)

{com}. drop pid_3 pid_4
{txt}
{com}. label var independent "Independent/Other (1=yes)"
{txt}
{com}. 
. *** past turnout
. gen likely_voter=(turnout_2008==1)|(turnout_2010==1)
{txt}
{com}. label var likely_voter "Voted in 2008 or 2010 (1=yes)"
{txt}
{com}. 
. gen vote_2008=turnout_2008==1
{txt}
{com}. gen vote_2010=turnout_2010==1
{txt}
{com}. label var vote_2008 "Voted in 2008 (1=yes)"
{txt}
{com}. label var vote_2010 "Voted in 2010 (1=yes)"
{txt}
{com}. 
. label var mail_last_month "Pieces of political mail each week? (0 = None; 4 = 10+)"
{txt}
{com}. 
. *** OUTCOME
. replace likely_to_vote=abs(likely_to_vote-5)
{txt}(812 real changes made)

{com}. label var likely_to_vote "Likely to Vote in 2012 (1=Definitely no; 4=definitely yes)"
{txt}
{com}. 
. ** TREATMENTS
. tab condition, gen(treat_)

  {txt}condition {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
  Candidate {c |}{res}        877       79.73       79.73
{txt}    Control {c |}{res}        223       20.27      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,100      100.00
{txt}
{com}. gen lang=0
{txt}
{com}. gen newell=0
{txt}
{com}. gen kerber=0
{txt}
{com}. gen hudak=0
{txt}
{com}. replace lang=1 if image=="<img src=https://surveygizmolibrary.s3.amazonaws.com/library/71534/lang.gif />"
{txt}(277 real changes made)

{com}. replace newell=1 if image=="<img src=https://surveygizmolibrary.s3.amazonaws.com/library/71534/newell.gif />"
{txt}(256 real changes made)

{com}. replace kerber=1 if image=="<img src=https://surveygizmolibrary.s3.amazonaws.com/library/71534/kerber.gif />"
{txt}(270 real changes made)

{com}. replace hudak=1 if image=="<img src=https://surveygizmolibrary.s3.amazonaws.com/library/71534/hudak.gif />"
{txt}(295 real changes made)

{com}. replace lang=0 if treat_2==1
{txt}(59 real changes made)

{com}. replace newell=0 if treat_2==1
{txt}(52 real changes made)

{com}. replace kerber=0 if treat_2==1
{txt}(55 real changes made)

{com}. replace hudak=0 if treat_2==1
{txt}(56 real changes made)

{com}. 
. gen treat_neg=newell+hudak
{txt}
{com}. gen treat_pos=lang+kerber
{txt}
{com}. label var treat_neg "Negative Mailer Treatment"
{txt}
{com}. label var treat_pos "Positive Mailer Treatment"
{txt}
{com}. 
. 
. **survey experiment sample restrictions
. gen insample=1
{txt}
{com}. * exclude from core sample if not registered
. replace insample=0 if already_voted==1
{txt}(239 real changes made)

{com}. replace insample=0 if reg_vote!=1
{txt}(186 real changes made)

{com}. * exclude from core sample if demographics or outcome missing
. reg likely_to_vote female age pid_stem turnout_2010 turnout_2008 educ income income_mis r_*  mail_last_month

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       762
{txt}{hline 13}{c +}{hline 34}   F(13, 748)      = {res}    10.67
{txt}       Model {c |} {res} 118.281226        13  9.09855581   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 637.860507       748  .852754688   {txt}R-squared       ={res}    0.1564
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1418
{txt}       Total {c |} {res} 756.141732       761  .993615943   {txt}Root MSE        =   {res} .92345

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} likely_to_vote{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}female {c |}{col 17}{res}{space 2} .0019454{col 29}{space 2}  .069915{col 40}{space 1}    0.03{col 49}{space 3}0.978{col 57}{space 4}-.1353076{col 70}{space 3} .1391983
{txt}{space 12}age {c |}{col 17}{res}{space 2} .0075195{col 29}{space 2} .0034475{col 40}{space 1}    2.18{col 49}{space 3}0.029{col 57}{space 4} .0007515{col 70}{space 3} .0142874
{txt}{space 7}pid_stem {c |}{col 17}{res}{space 2}-.2098597{col 29}{space 2} .0353972{col 40}{space 1}   -5.93{col 49}{space 3}0.000{col 57}{space 4}-.2793494{col 70}{space 3}-.1403701
{txt}{space 3}turnout_2010 {c |}{col 17}{res}{space 2} .0023523{col 29}{space 2} .0228942{col 40}{space 1}    0.10{col 49}{space 3}0.918{col 57}{space 4}-.0425922{col 70}{space 3} .0472969
{txt}{space 3}turnout_2008 {c |}{col 17}{res}{space 2}-.0147696{col 29}{space 2}  .020432{col 40}{space 1}   -0.72{col 49}{space 3}0.470{col 57}{space 4}-.0548806{col 70}{space 3} .0253413
{txt}{space 11}educ {c |}{col 17}{res}{space 2} .1048505{col 29}{space 2} .0279989{col 40}{space 1}    3.74{col 49}{space 3}0.000{col 57}{space 4} .0498847{col 70}{space 3} .1598163
{txt}{space 9}income {c |}{col 17}{res}{space 2} .0365518{col 29}{space 2} .0107882{col 40}{space 1}    3.39{col 49}{space 3}0.001{col 57}{space 4} .0153731{col 70}{space 3} .0577305
{txt}{space 5}income_mis {c |}{col 17}{res}{space 2}-.2986974{col 29}{space 2} .1879694{col 40}{space 1}   -1.59{col 49}{space 3}0.112{col 57}{space 4}-.6677078{col 70}{space 3}  .070313
{txt}{space 8}r_white {c |}{col 17}{res}{space 2} .3990916{col 29}{space 2} .1883172{col 40}{space 1}    2.12{col 49}{space 3}0.034{col 57}{space 4} .0293985{col 70}{space 3} .7687847
{txt}{space 8}r_black {c |}{col 17}{res}{space 2} .4601275{col 29}{space 2}  .224471{col 40}{space 1}    2.05{col 49}{space 3}0.041{col 57}{space 4} .0194595{col 70}{space 3} .9007956
{txt}{space 5}r_hispanic {c |}{col 17}{res}{space 2} .0230004{col 29}{space 2} .2114509{col 40}{space 1}    0.11{col 49}{space 3}0.913{col 57}{space 4}-.3921074{col 70}{space 3} .4381083
{txt}{space 8}r_other {c |}{col 17}{res}{space 2}  .158133{col 29}{space 2} .1787088{col 40}{space 1}    0.88{col 49}{space 3}0.377{col 57}{space 4}-.1926974{col 70}{space 3} .5089635
{txt}mail_last_month {c |}{col 17}{res}{space 2} .1190292{col 29}{space 2}  .027935{col 40}{space 1}    4.26{col 49}{space 3}0.000{col 57}{space 4} .0641887{col 70}{space 3} .1738696
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 2.304757{col 29}{space 2} .2591655{col 40}{space 1}    8.89{col 49}{space 3}0.000{col 57}{space 4} 1.795979{col 70}{space 3} 2.813535
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. replace insample=0 if e(sample)==0
{txt}(55 real changes made)

{com}. 
. //set directorty to output tables
. cd "tables"
{res}C:\Users\ddoherty\Dropbox\My Work Documents\Field v. Survey Experiment Paper\Replication Archive\tables
{txt}
{com}. 
. 
. *** Table A2: Summary Statistics: Survey Experiment
. outsum likely_to_vote treat_pos treat_neg female age educ income income_mis r_* vote_2008 vote_2010 mail_last_month if insample==1 using "A2_summary_mturk", replace bracket ctitle(Full Sample) 
{txt}
{com}. outsum likely_to_vote treat_pos treat_neg female age educ income income_mis r_* vote_2008 vote_2010 mail_last_month if likely_voter==1 & insample==1 using "A2_summary_mturk", append bracket ctitle(Likely Voters [Voted in 2008 or 2010]) 
{txt}
{com}. 
. ***BALANCE TEST (see note to Table A2)
. *balance check outcome variable
. gen balance_treat=0
{txt}
{com}. replace balance_treat=1 if treat_neg==1
{txt}(443 real changes made)

{com}. replace balance_treat=2 if treat_pos==1
{txt}(433 real changes made)

{com}. //Balance test: core sample
. mlogit balance_treat democrat republican vote_2008 vote_2010 female age educ income income_mis r_* mail_last_month if insample==1

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-667.29847}  
Iteration 1:{space 3}log likelihood = {res:-659.34915}  
Iteration 2:{space 3}log likelihood = {res:-659.26476}  
Iteration 3:{space 3}log likelihood = {res:-659.26472}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       633
{txt}{col 49}LR chi2({res}28{txt}){col 67}= {res}     16.07
{txt}{col 49}Prob > chi2{col 67}= {res}    0.9648
{txt}Log likelihood = {res}-659.26472{txt}{col 49}Pseudo R2{col 67}= {res}    0.0120

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  balance_treat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}0               {txt}{c |}
{space 7}democrat {c |}{col 17}{res}{space 2}-.0232019{col 29}{space 2} .2532221{col 40}{space 1}   -0.09{col 49}{space 3}0.927{col 57}{space 4}-.5195082{col 70}{space 3} .4731043
{txt}{space 5}republican {c |}{col 17}{res}{space 2} .2378186{col 29}{space 2}  .336287{col 40}{space 1}    0.71{col 49}{space 3}0.479{col 57}{space 4}-.4212919{col 70}{space 3} .8969291
{txt}{space 6}vote_2008 {c |}{col 17}{res}{space 2}-.0316495{col 29}{space 2} .2827822{col 40}{space 1}   -0.11{col 49}{space 3}0.911{col 57}{space 4}-.5858926{col 70}{space 3} .5225935
{txt}{space 6}vote_2010 {c |}{col 17}{res}{space 2} .1579989{col 29}{space 2} .2523712{col 40}{space 1}    0.63{col 49}{space 3}0.531{col 57}{space 4}-.3366395{col 70}{space 3} .6526373
{txt}{space 9}female {c |}{col 17}{res}{space 2} .1067142{col 29}{space 2} .2293728{col 40}{space 1}    0.47{col 49}{space 3}0.642{col 57}{space 4}-.3428483{col 70}{space 3} .5562767
{txt}{space 12}age {c |}{col 17}{res}{space 2} -.007567{col 29}{space 2} .0111359{col 40}{space 1}   -0.68{col 49}{space 3}0.497{col 57}{space 4} -.029393{col 70}{space 3} .0142589
{txt}{space 11}educ {c |}{col 17}{res}{space 2}-.1022772{col 29}{space 2} .0938677{col 40}{space 1}   -1.09{col 49}{space 3}0.276{col 57}{space 4}-.2862545{col 70}{space 3} .0817001
{txt}{space 9}income {c |}{col 17}{res}{space 2}-.0149178{col 29}{space 2} .0356276{col 40}{space 1}   -0.42{col 49}{space 3}0.675{col 57}{space 4}-.0847465{col 70}{space 3} .0549109
{txt}{space 5}income_mis {c |}{col 17}{res}{space 2} .2699295{col 29}{space 2} .6083611{col 40}{space 1}    0.44{col 49}{space 3}0.657{col 57}{space 4}-.9224364{col 70}{space 3} 1.462295
{txt}{space 8}r_white {c |}{col 17}{res}{space 2}-.4140577{col 29}{space 2} .6532714{col 40}{space 1}   -0.63{col 49}{space 3}0.526{col 57}{space 4}-1.694446{col 70}{space 3} .8663308
{txt}{space 8}r_black {c |}{col 17}{res}{space 2} .2191954{col 29}{space 2} .7468066{col 40}{space 1}    0.29{col 49}{space 3}0.769{col 57}{space 4}-1.244519{col 70}{space 3} 1.682909
{txt}{space 5}r_hispanic {c |}{col 17}{res}{space 2}-.4047833{col 29}{space 2} .7412673{col 40}{space 1}   -0.55{col 49}{space 3}0.585{col 57}{space 4}-1.857641{col 70}{space 3} 1.048074
{txt}{space 8}r_other {c |}{col 17}{res}{space 2}-.3832739{col 29}{space 2} .6287738{col 40}{space 1}   -0.61{col 49}{space 3}0.542{col 57}{space 4}-1.615648{col 70}{space 3} .8491001
{txt}mail_last_month {c |}{col 17}{res}{space 2} .0391696{col 29}{space 2} .0938678{col 40}{space 1}    0.42{col 49}{space 3}0.676{col 57}{space 4}-.1448078{col 70}{space 3} .2231471
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}  .203304{col 29}{space 2} .8217617{col 40}{space 1}    0.25{col 49}{space 3}0.805{col 57}{space 4}-1.407319{col 70}{space 3} 1.813927
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}1              {col 17}{txt}{c |}  (base outcome)
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2               {txt}{c |}
{space 7}democrat {c |}{col 17}{res}{space 2}  .081754{col 29}{space 2} .2071649{col 40}{space 1}    0.39{col 49}{space 3}0.693{col 57}{space 4}-.3242817{col 70}{space 3} .4877898
{txt}{space 5}republican {c |}{col 17}{res}{space 2} .1507888{col 29}{space 2}  .276212{col 40}{space 1}    0.55{col 49}{space 3}0.585{col 57}{space 4}-.3905769{col 70}{space 3} .6921544
{txt}{space 6}vote_2008 {c |}{col 17}{res}{space 2} .0810768{col 29}{space 2} .2321635{col 40}{space 1}    0.35{col 49}{space 3}0.727{col 57}{space 4}-.3739553{col 70}{space 3} .5361089
{txt}{space 6}vote_2010 {c |}{col 17}{res}{space 2} .0048443{col 29}{space 2} .2069545{col 40}{space 1}    0.02{col 49}{space 3}0.981{col 57}{space 4}-.4007791{col 70}{space 3} .4104677
{txt}{space 9}female {c |}{col 17}{res}{space 2} .0233271{col 29}{space 2} .1880663{col 40}{space 1}    0.12{col 49}{space 3}0.901{col 57}{space 4}-.3452761{col 70}{space 3} .3919302
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0161139{col 29}{space 2} .0093725{col 40}{space 1}   -1.72{col 49}{space 3}0.086{col 57}{space 4}-.0344836{col 70}{space 3} .0022558
{txt}{space 11}educ {c |}{col 17}{res}{space 2} .0023741{col 29}{space 2} .0774087{col 40}{space 1}    0.03{col 49}{space 3}0.976{col 57}{space 4}-.1493441{col 70}{space 3} .1540924
{txt}{space 9}income {c |}{col 17}{res}{space 2} .0465426{col 29}{space 2} .0288848{col 40}{space 1}    1.61{col 49}{space 3}0.107{col 57}{space 4}-.0100706{col 70}{space 3} .1031558
{txt}{space 5}income_mis {c |}{col 17}{res}{space 2} -.348749{col 29}{space 2} .5010473{col 40}{space 1}   -0.70{col 49}{space 3}0.486{col 57}{space 4}-1.330784{col 70}{space 3} .6332857
{txt}{space 8}r_white {c |}{col 17}{res}{space 2} .2592126{col 29}{space 2} .5045819{col 40}{space 1}    0.51{col 49}{space 3}0.607{col 57}{space 4}-.7297498{col 70}{space 3} 1.248175
{txt}{space 8}r_black {c |}{col 17}{res}{space 2} .0719883{col 29}{space 2} .6292341{col 40}{space 1}    0.11{col 49}{space 3}0.909{col 57}{space 4}-1.161288{col 70}{space 3} 1.305264
{txt}{space 5}r_hispanic {c |}{col 17}{res}{space 2} .2169134{col 29}{space 2}  .558082{col 40}{space 1}    0.39{col 49}{space 3}0.698{col 57}{space 4}-.8769073{col 70}{space 3} 1.310734
{txt}{space 8}r_other {c |}{col 17}{res}{space 2} .1077818{col 29}{space 2} .4776652{col 40}{space 1}    0.23{col 49}{space 3}0.821{col 57}{space 4}-.8284247{col 70}{space 3} 1.043988
{txt}mail_last_month {c |}{col 17}{res}{space 2} .0415419{col 29}{space 2} .0768198{col 40}{space 1}    0.54{col 49}{space 3}0.589{col 57}{space 4}-.1090222{col 70}{space 3}  .192106
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-.3013496{col 29}{space 2} .6671716{col 40}{space 1}   -0.45{col 49}{space 3}0.651{col 57}{space 4}-1.608982{col 70}{space 3} 1.006283
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. //Balance test: likely voters only
. mlogit balance_treat democrat republican vote_2008 vote_2010 female age educ income income_mis r_* mail_last_month if likely_voter & insample==1

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-489.60919}  
Iteration 1:{space 3}log likelihood = {res:-483.45825}  
Iteration 2:{space 3}log likelihood = {res:-483.39793}  
Iteration 3:{space 3}log likelihood = {res:-483.39792}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       464
{txt}{col 49}LR chi2({res}28{txt}){col 67}= {res}     12.42
{txt}{col 49}Prob > chi2{col 67}= {res}    0.9951
{txt}Log likelihood = {res}-483.39792{txt}{col 49}Pseudo R2{col 67}= {res}    0.0127

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  balance_treat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}0               {txt}{c |}
{space 7}democrat {c |}{col 17}{res}{space 2} .1788331{col 29}{space 2} .3094875{col 40}{space 1}    0.58{col 49}{space 3}0.563{col 57}{space 4}-.4277514{col 70}{space 3} .7854175
{txt}{space 5}republican {c |}{col 17}{res}{space 2} .4154505{col 29}{space 2} .3989104{col 40}{space 1}    1.04{col 49}{space 3}0.298{col 57}{space 4}-.3663996{col 70}{space 3} 1.197301
{txt}{space 6}vote_2008 {c |}{col 17}{res}{space 2} -.421418{col 29}{space 2} .5310035{col 40}{space 1}   -0.79{col 49}{space 3}0.427{col 57}{space 4}-1.462166{col 70}{space 3} .6193296
{txt}{space 6}vote_2010 {c |}{col 17}{res}{space 2} .0185022{col 29}{space 2} .2860026{col 40}{space 1}    0.06{col 49}{space 3}0.948{col 57}{space 4}-.5420526{col 70}{space 3}  .579057
{txt}{space 9}female {c |}{col 17}{res}{space 2}-.0233799{col 29}{space 2} .2667605{col 40}{space 1}   -0.09{col 49}{space 3}0.930{col 57}{space 4} -.546221{col 70}{space 3} .4994612
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0014878{col 29}{space 2} .0125587{col 40}{space 1}   -0.12{col 49}{space 3}0.906{col 57}{space 4}-.0261024{col 70}{space 3} .0231268
{txt}{space 11}educ {c |}{col 17}{res}{space 2}-.0827568{col 29}{space 2} .1093942{col 40}{space 1}   -0.76{col 49}{space 3}0.449{col 57}{space 4}-.2971654{col 70}{space 3} .1316518
{txt}{space 9}income {c |}{col 17}{res}{space 2}-.0422661{col 29}{space 2}  .046147{col 40}{space 1}   -0.92{col 49}{space 3}0.360{col 57}{space 4}-.1327127{col 70}{space 3} .0481804
{txt}{space 5}income_mis {c |}{col 17}{res}{space 2} .1577413{col 29}{space 2} .8018144{col 40}{space 1}    0.20{col 49}{space 3}0.844{col 57}{space 4}-1.413786{col 70}{space 3} 1.729269
{txt}{space 8}r_white {c |}{col 17}{res}{space 2}-.2037843{col 29}{space 2} .8404266{col 40}{space 1}   -0.24{col 49}{space 3}0.808{col 57}{space 4} -1.85099{col 70}{space 3} 1.443422
{txt}{space 8}r_black {c |}{col 17}{res}{space 2} .2632409{col 29}{space 2} .9180803{col 40}{space 1}    0.29{col 49}{space 3}0.774{col 57}{space 4}-1.536164{col 70}{space 3} 2.062645
{txt}{space 5}r_hispanic {c |}{col 17}{res}{space 2}-.4328435{col 29}{space 2} 1.128092{col 40}{space 1}   -0.38{col 49}{space 3}0.701{col 57}{space 4}-2.643864{col 70}{space 3} 1.778177
{txt}{space 8}r_other {c |}{col 17}{res}{space 2}-.4095234{col 29}{space 2}  .749091{col 40}{space 1}   -0.55{col 49}{space 3}0.585{col 57}{space 4}-1.877715{col 70}{space 3} 1.058668
{txt}mail_last_month {c |}{col 17}{res}{space 2} .0062396{col 29}{space 2} .1081423{col 40}{space 1}    0.06{col 49}{space 3}0.954{col 57}{space 4}-.2057153{col 70}{space 3} .2181946
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .3856407{col 29}{space 2} 1.076187{col 40}{space 1}    0.36{col 49}{space 3}0.720{col 57}{space 4}-1.723647{col 70}{space 3} 2.494928
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}1              {col 17}{txt}{c |}  (base outcome)
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2               {txt}{c |}
{space 7}democrat {c |}{col 17}{res}{space 2} -.058955{col 29}{space 2} .2467399{col 40}{space 1}   -0.24{col 49}{space 3}0.811{col 57}{space 4}-.5425563{col 70}{space 3} .4246463
{txt}{space 5}republican {c |}{col 17}{res}{space 2} -.005358{col 29}{space 2} .3220046{col 40}{space 1}   -0.02{col 49}{space 3}0.987{col 57}{space 4}-.6364754{col 70}{space 3} .6257595
{txt}{space 6}vote_2008 {c |}{col 17}{res}{space 2}-.2867615{col 29}{space 2} .4700262{col 40}{space 1}   -0.61{col 49}{space 3}0.542{col 57}{space 4}-1.207996{col 70}{space 3} .6344729
{txt}{space 6}vote_2010 {c |}{col 17}{res}{space 2}-.0829376{col 29}{space 2} .2331177{col 40}{space 1}   -0.36{col 49}{space 3}0.722{col 57}{space 4}-.5398399{col 70}{space 3} .3739647
{txt}{space 9}female {c |}{col 17}{res}{space 2} .0481139{col 29}{space 2}  .217786{col 40}{space 1}    0.22{col 49}{space 3}0.825{col 57}{space 4}-.3787388{col 70}{space 3} .4749666
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0046292{col 29}{space 2} .0103785{col 40}{space 1}   -0.45{col 49}{space 3}0.656{col 57}{space 4}-.0249707{col 70}{space 3} .0157123
{txt}{space 11}educ {c |}{col 17}{res}{space 2} .0535947{col 29}{space 2}  .090643{col 40}{space 1}    0.59{col 49}{space 3}0.554{col 57}{space 4}-.1240624{col 70}{space 3} .2312518
{txt}{space 9}income {c |}{col 17}{res}{space 2} .0299197{col 29}{space 2} .0375039{col 40}{space 1}    0.80{col 49}{space 3}0.425{col 57}{space 4}-.0435867{col 70}{space 3}  .103426
{txt}{space 5}income_mis {c |}{col 17}{res}{space 2}-.3237295{col 29}{space 2} .6174451{col 40}{space 1}   -0.52{col 49}{space 3}0.600{col 57}{space 4}  -1.5339{col 70}{space 3} .8864406
{txt}{space 8}r_white {c |}{col 17}{res}{space 2} .5481235{col 29}{space 2} .6538443{col 40}{space 1}    0.84{col 49}{space 3}0.402{col 57}{space 4}-.7333879{col 70}{space 3} 1.829635
{txt}{space 8}r_black {c |}{col 17}{res}{space 2} .2417695{col 29}{space 2} .7504215{col 40}{space 1}    0.32{col 49}{space 3}0.747{col 57}{space 4} -1.22903{col 70}{space 3} 1.712569
{txt}{space 5}r_hispanic {c |}{col 17}{res}{space 2} .8529495{col 29}{space 2} .8252551{col 40}{space 1}    1.03{col 49}{space 3}0.301{col 57}{space 4}-.7645209{col 70}{space 3}  2.47042
{txt}{space 8}r_other {c |}{col 17}{res}{space 2} .1246513{col 29}{space 2} .5643523{col 40}{space 1}    0.22{col 49}{space 3}0.825{col 57}{space 4}-.9814589{col 70}{space 3} 1.230762
{txt}mail_last_month {c |}{col 17}{res}{space 2} .0239402{col 29}{space 2} .0880801{col 40}{space 1}    0.27{col 49}{space 3}0.786{col 57}{space 4}-.1486937{col 70}{space 3}  .196574
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-.5274808{col 29}{space 2} .9016138{col 40}{space 1}   -0.59{col 49}{space 3}0.559{col 57}{space 4}-2.294611{col 70}{space 3}  1.23965
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. **STACK Field Exp DATA
. append using "..\scratch_data\fe_data.dta"
{txt}
{com}. 
. //replace variable identifying experiments with 0 for survey experiment
. replace exp=0 if exp==.
{txt}(1,113 real changes made)

{com}. //create indicators for experiments 
. tab exp, gen(exp_)

        {txt}exp {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,113       31.32       31.32
{txt}          1 {c |}{res}      1,540       43.33       74.65
{txt}          2 {c |}{res}        901       25.35      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      3,554      100.00
{txt}
{com}. rename exp_1 survey_experiment
{res}{txt}
{com}. rename exp_2 fe_1
{res}{txt}
{com}. rename exp_3 fe_2
{res}{txt}
{com}. label var fe_1 "First Field Experiment"
{txt}
{com}. label var fe_2 "Second Field Experiment"
{txt}
{com}. 
. *** Treatment x Experiment Interactions 
. foreach i in treat_pos treat_neg{c -(}
{txt}  2{com}. gen `i'Xfe_1=`i'*fe_1
{txt}  3{com}. gen `i'Xfe_2=`i'*fe_2
{txt}  4{com}. {c )-}
{txt}
{com}. label var treat_posXfe_1 "Positive Mailer x Field Experiment 1"
{txt}
{com}. label var treat_posXfe_2 "Positive Mailer x Field Experiment 2"
{txt}
{com}. label var treat_negXfe_1 "Negative Mailer x Field Experiment 1"
{txt}
{com}. label var treat_negXfe_2 "Negative Mailer x Field Experiment 2"
{txt}
{com}. 
. ***dummy regression used to improve formatting of figures by making space between markers presented in in figure; no estimates actually reported in figures
. reg likely_to_vote age, r

{txt}Linear regression                               Number of obs     = {res}       795
                                                {txt}F(1, 793)         =  {res}    16.48
                                                {txt}Prob > F          = {res}    0.0001
                                                {txt}R-squared         = {res}    0.0229
                                                {txt}Root MSE          =    {res} .99428

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}likely_to_~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}age {c |}{col 14}{res}{space 2}  .013736{col 26}{space 2} .0033836{col 37}{space 1}    4.06{col 46}{space 3}0.000{col 54}{space 4} .0070941{col 67}{space 3} .0203779
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 2.873749{col 26}{space 2} .1146568{col 37}{space 1}   25.06{col 46}{space 3}0.000{col 54}{space 4} 2.648682{col 67}{space 3} 3.098816
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo blank
{txt}
{com}. 
. ****** REGRESSIONS *******
. *** Table A3: Models Mirroring OLS Models Presented in Table A7 (No Sample Restrictions for Survey Experiment)
. reg likely_to_vote treat_pos* treat_neg* fe_1 fe_2, r

{txt}Linear regression                               Number of obs     = {res}     3,253
                                                {txt}F(8, 3244)        =  {res}    30.72
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1127
                                                {txt}Root MSE          =    {res} .68042

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}likely_to_vote{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}treat_pos {c |}{col 16}{res}{space 2}-.0896085{col 28}{space 2} .0957376{col 39}{space 1}   -0.94{col 48}{space 3}0.349{col 56}{space 4}-.2773208{col 69}{space 3} .0981038
{txt}treat_posXfe_1 {c |}{col 16}{res}{space 2} .1335755{col 28}{space 2} .1019806{col 39}{space 1}    1.31{col 48}{space 3}0.190{col 56}{space 4}-.0663775{col 69}{space 3} .3335285
{txt}treat_posXfe_2 {c |}{col 16}{res}{space 2} .1847204{col 28}{space 2} .1049728{col 39}{space 1}    1.76{col 48}{space 3}0.079{col 56}{space 4}-.0210993{col 69}{space 3} .3905401
{txt}{space 5}treat_neg {c |}{col 16}{res}{space 2}-.1613715{col 28}{space 2} .0980983{col 39}{space 1}   -1.64{col 48}{space 3}0.100{col 56}{space 4}-.3537124{col 69}{space 3} .0309694
{txt}treat_negXfe_1 {c |}{col 16}{res}{space 2} .2417591{col 28}{space 2} .1037346{col 39}{space 1}    2.33{col 48}{space 3}0.020{col 56}{space 4} .0383671{col 69}{space 3} .4451511
{txt}treat_negXfe_2 {c |}{col 16}{res}{space 2} .2634957{col 28}{space 2} .1069252{col 39}{space 1}    2.46{col 48}{space 3}0.014{col 56}{space 4}  .053848{col 69}{space 3} .4731434
{txt}{space 10}fe_1 {c |}{col 16}{res}{space 2} .3915033{col 28}{space 2} .0831881{col 39}{space 1}    4.71{col 48}{space 3}0.000{col 56}{space 4} .2283968{col 69}{space 3} .5546098
{txt}{space 10}fe_2 {c |}{col 16}{res}{space 2} .4057491{col 28}{space 2} .0860869{col 39}{space 1}    4.71{col 48}{space 3}0.000{col 56}{space 4} .2369589{col 69}{space 3} .5745393
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 3.394904{col 28}{space 2} .0790276{col 39}{space 1}   42.96{col 48}{space 3}0.000{col 56}{space 4} 3.239955{col 69}{space 3} 3.549853
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg using "A3_no_sample_restrict", se bracket tdec(3) replace label 
{txt}
{com}. 
. reg likely_to_vote treat_pos* treat_neg* fe_1 fe_2 if (likely_voter==1 | likely_voter==.), r

{txt}Linear regression                               Number of obs     = {res}     2,962
                                                {txt}F(8, 2953)        =  {res}     6.13
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0177
                                                {txt}Root MSE          =    {res} .54932

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}likely_to_vote{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}treat_pos {c |}{col 16}{res}{space 2} -.089011{col 28}{space 2} .0746591{col 39}{space 1}   -1.19{col 48}{space 3}0.233{col 56}{space 4}-.2354001{col 69}{space 3} .0573781
{txt}treat_posXfe_1 {c |}{col 16}{res}{space 2}  .132978{col 28}{space 2} .0825147{col 39}{space 1}    1.61{col 48}{space 3}0.107{col 56}{space 4}-.0288142{col 69}{space 3} .2947701
{txt}treat_posXfe_2 {c |}{col 16}{res}{space 2} .1841229{col 28}{space 2} .0861863{col 39}{space 1}    2.14{col 48}{space 3}0.033{col 56}{space 4} .0151315{col 69}{space 3} .3531142
{txt}{space 5}treat_neg {c |}{col 16}{res}{space 2}-.0649725{col 28}{space 2} .0744011{col 39}{space 1}   -0.87{col 48}{space 3}0.383{col 56}{space 4}-.2108557{col 69}{space 3} .0809107
{txt}treat_negXfe_1 {c |}{col 16}{res}{space 2} .1453601{col 28}{space 2}  .081691{col 39}{space 1}    1.78{col 48}{space 3}0.075{col 56}{space 4} -.014817{col 69}{space 3} .3055373
{txt}treat_negXfe_2 {c |}{col 16}{res}{space 2} .1670967{col 28}{space 2} .0857072{col 39}{space 1}    1.95{col 48}{space 3}0.051{col 56}{space 4}-.0009552{col 69}{space 3} .3351486
{txt}{space 10}fe_1 {c |}{col 16}{res}{space 2} .0435506{col 28}{space 2} .0643234{col 39}{space 1}    0.68{col 48}{space 3}0.498{col 56}{space 4}-.0825726{col 69}{space 3} .1696738
{txt}{space 10}fe_2 {c |}{col 16}{res}{space 2} .0577965{col 28}{space 2} .0680318{col 39}{space 1}    0.85{col 48}{space 3}0.396{col 56}{space 4}-.0755982{col 69}{space 3} .1911911
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 3.742857{col 28}{space 2} .0588423{col 39}{space 1}   63.61{col 48}{space 3}0.000{col 56}{space 4} 3.627481{col 69}{space 3} 3.858233
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg using "A3_no_sample_restrict", se bracket tdec(3) append label 
{txt}
{com}. 
. reg likely_to_vote treat_pos* treat_neg* fe_1 fe_2 if (democrat==0 | democrat==.) & (republican==0 | republican==.), r

{txt}Linear regression                               Number of obs     = {res}     2,735
                                                {txt}F(8, 2726)        =  {res}    24.15
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1657
                                                {txt}Root MSE          =    {res} .61691

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}likely_to_vote{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}treat_pos {c |}{col 16}{res}{space 2}-.0330118{col 28}{space 2} .1756354{col 39}{space 1}   -0.19{col 48}{space 3}0.851{col 56}{space 4}-.3774037{col 69}{space 3} .3113802
{txt}treat_posXfe_1 {c |}{col 16}{res}{space 2} .0769787{col 28}{space 2} .1791167{col 39}{space 1}    0.43{col 48}{space 3}0.667{col 56}{space 4}-.2742395{col 69}{space 3}  .428197
{txt}treat_posXfe_2 {c |}{col 16}{res}{space 2} .1281236{col 28}{space 2} .1808379{col 39}{space 1}    0.71{col 48}{space 3}0.479{col 56}{space 4}-.2264697{col 69}{space 3} .4827169
{txt}{space 5}treat_neg {c |}{col 16}{res}{space 2}-.3531613{col 28}{space 2} .1781974{col 39}{space 1}   -1.98{col 48}{space 3}0.048{col 56}{space 4}-.7025769{col 69}{space 3}-.0037457
{txt}treat_negXfe_1 {c |}{col 16}{res}{space 2} .4335489{col 28}{space 2} .1813629{col 39}{space 1}    2.39{col 48}{space 3}0.017{col 56}{space 4} .0779262{col 69}{space 3} .7891716
{txt}treat_negXfe_2 {c |}{col 16}{res}{space 2} .4552855{col 28}{space 2} .1832075{col 39}{space 1}    2.49{col 48}{space 3}0.013{col 56}{space 4} .0960459{col 69}{space 3}  .814525
{txt}{space 10}fe_1 {c |}{col 16}{res}{space 2} .6412465{col 28}{space 2} .1465457{col 39}{space 1}    4.38{col 48}{space 3}0.000{col 56}{space 4} .3538947{col 69}{space 3} .9285983
{txt}{space 10}fe_2 {c |}{col 16}{res}{space 2} .6554923{col 28}{space 2} .1482113{col 39}{space 1}    4.42{col 48}{space 3}0.000{col 56}{space 4} .3648745{col 69}{space 3} .9461102
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 3.145161{col 28}{space 2} .1442234{col 39}{space 1}   21.81{col 48}{space 3}0.000{col 56}{space 4} 2.862363{col 69}{space 3} 3.427959
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg using "A3_no_sample_restrict", se bracket tdec(3) append label 
{txt}
{com}. 
. reg likely_to_vote treat_pos* treat_neg* fe_1 fe_2 if (likely_voter==1 | likely_voter==.) & (democrat==0 | democrat==.) & (republican==0 | republican==.), r

{txt}Linear regression                               Number of obs     = {res}     2,596
                                                {txt}F(8, 2587)        =  {res}     5.44
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0269
                                                {txt}Root MSE          =    {res} .54209

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}likely_to_vote{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}treat_pos {c |}{col 16}{res}{space 2}-.0483871{col 28}{space 2} .1385787{col 39}{space 1}   -0.35{col 48}{space 3}0.727{col 56}{space 4}-.3201236{col 69}{space 3} .2233494
{txt}treat_posXfe_1 {c |}{col 16}{res}{space 2} .0923541{col 28}{space 2} .1429661{col 39}{space 1}    0.65{col 48}{space 3}0.518{col 56}{space 4}-.1879855{col 69}{space 3} .3726936
{txt}treat_posXfe_2 {c |}{col 16}{res}{space 2}  .143499{col 28}{space 2} .1451171{col 39}{space 1}    0.99{col 48}{space 3}0.323{col 56}{space 4}-.1410585{col 69}{space 3} .4280564
{txt}{space 5}treat_neg {c |}{col 16}{res}{space 2}-.3064516{col 28}{space 2}  .164425{col 39}{space 1}   -1.86{col 48}{space 3}0.062{col 56}{space 4}-.6288696{col 69}{space 3} .0159664
{txt}treat_negXfe_1 {c |}{col 16}{res}{space 2} .3868392{col 28}{space 2} .1678511{col 39}{space 1}    2.30{col 48}{space 3}0.021{col 56}{space 4} .0577032{col 69}{space 3} .7159753
{txt}treat_negXfe_2 {c |}{col 16}{res}{space 2} .4085758{col 28}{space 2} .1698428{col 39}{space 1}    2.41{col 48}{space 3}0.016{col 56}{space 4} .0755342{col 69}{space 3} .7416174
{txt}{space 10}fe_1 {c |}{col 16}{res}{space 2} .1089884{col 28}{space 2} .1183817{col 39}{space 1}    0.92{col 48}{space 3}0.357{col 56}{space 4} -.123144{col 69}{space 3} .3411208
{txt}{space 10}fe_2 {c |}{col 16}{res}{space 2} .1232342{col 28}{space 2} .1204378{col 39}{space 1}    1.02{col 48}{space 3}0.306{col 56}{space 4}  -.11293{col 69}{space 3} .3593985
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 3.677419{col 28}{space 2} .1154939{col 39}{space 1}   31.84{col 48}{space 3}0.000{col 56}{space 4} 3.450949{col 69}{space 3} 3.903889
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg using "A3_no_sample_restrict", se bracket tdec(3) append label 
{txt}
{com}. 
. //restrict sample to those who did not affirm that they were registered to vote and those who did not provide responses to all balance test items
. drop if insample==0
{txt}(480 observations deleted)

{com}. 
. //preserve so can return to core set of interactions
. preserve
{txt}
{com}. *****Table A4: Regression Models (Party Moderation; Survey Experiment Only)
. **survey exp only interactions
. drop treat_posX* treat_negX*
{txt}
{com}. foreach i in democrat republican independent income income_mis educ female age r_white mail_last_month{c -(}
{txt}  2{com}. gen treat_posX`i'=treat_pos*`i'
{txt}  3{com}. gen treat_negX`i'=treat_neg*`i'
{txt}  4{com}. local label : variable label `i'
{txt}  5{com}. label var treat_posX`i' "Positive Mailer x `label'"
{txt}  6{com}. label var treat_negX`i' "Negative Mailer x `label'"
{txt}  7{com}. {c )-}
{txt}(2,441 missing values generated)
(2,441 missing values generated)
(2,441 missing values generated)
(2,441 missing values generated)
(2,441 missing values generated)
(2,441 missing values generated)
(2,441 missing values generated)
(2,441 missing values generated)
(2,441 missing values generated)
(2,441 missing values generated)
(2,441 missing values generated)
(2,441 missing values generated)
(2,441 missing values generated)
(2,441 missing values generated)
(2,441 missing values generated)
(2,441 missing values generated)
(2,441 missing values generated)
(2,441 missing values generated)
(2,441 missing values generated)
(2,441 missing values generated)

{com}. 
. reg likely_to_vote treat_pos treat_neg democrat republican treat_posXdemocrat treat_negXdemocrat treat_posXrepublican treat_negXrepublican, r

{txt}Linear regression                               Number of obs     = {res}       633
                                                {txt}F(8, 624)         =  {res}     3.10
                                                {txt}Prob > F          = {res}    0.0020
                                                {txt}R-squared         = {res}    0.0510
                                                {txt}Root MSE          =    {res} .72226

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}      likely_to_vote{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}treat_pos {c |}{col 22}{res}{space 2}-.1745027{col 34}{space 2} .1293996{col 45}{space 1}   -1.35{col 54}{space 3}0.178{col 62}{space 4}-.4286141{col 75}{space 3} .0796086
{txt}{space 11}treat_neg {c |}{col 22}{res}{space 2}-.4129721{col 34}{space 2} .1429743{col 45}{space 1}   -2.89{col 54}{space 3}0.004{col 62}{space 4}-.6937411{col 75}{space 3}-.1322031
{txt}{space 12}democrat {c |}{col 22}{res}{space 2}-.0035129{col 34}{space 2} .1311192{col 45}{space 1}   -0.03{col 54}{space 3}0.979{col 62}{space 4}-.2610012{col 75}{space 3} .2539755
{txt}{space 10}republican {c |}{col 22}{res}{space 2} .1832298{col 34}{space 2}  .163823{col 45}{space 1}    1.12{col 54}{space 3}0.264{col 62}{space 4}-.1384814{col 75}{space 3}  .504941
{txt}{space 2}treat_posXdemocrat {c |}{col 22}{res}{space 2} .1671585{col 34}{space 2} .1696346{col 45}{space 1}    0.99{col 54}{space 3}0.325{col 62}{space 4}-.1659653{col 75}{space 3} .5002822
{txt}{space 2}treat_negXdemocrat {c |}{col 22}{res}{space 2} .4845653{col 34}{space 2} .1781931{col 45}{space 1}    2.72{col 54}{space 3}0.007{col 62}{space 4} .1346345{col 75}{space 3} .8344962
{txt}treat_posXrepublican {c |}{col 22}{res}{space 2} .0005897{col 34}{space 2} .2083848{col 45}{space 1}    0.00{col 54}{space 3}0.998{col 62}{space 4}-.4086308{col 75}{space 3} .4098101
{txt}treat_negXrepublican {c |}{col 22}{res}{space 2} .3487899{col 34}{space 2} .2093215{col 45}{space 1}    1.67{col 54}{space 3}0.096{col 62}{space 4}-.0622701{col 75}{space 3} .7598499
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.642857{col 34}{space 2} .0948458{col 45}{space 1}   38.41{col 54}{space 3}0.000{col 62}{space 4} 3.456601{col 75}{space 3} 3.829113
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg using "A4_party_regressions", se bracket tdec(3) replace label 
{txt}
{com}. 
. reg likely_to_vote treat_pos treat_neg democrat republican treat_posXdemocrat treat_negXdemocrat treat_posXrepublican treat_negXrepublican if likely_voter, r

{txt}Linear regression                               Number of obs     = {res}       464
                                                {txt}F(8, 455)         =  {res}     1.43
                                                {txt}Prob > F          = {res}    0.1825
                                                {txt}R-squared         = {res}    0.0350
                                                {txt}Root MSE          =    {res} .57679

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}      likely_to_vote{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}treat_pos {c |}{col 22}{res}{space 2}-.1189394{col 34}{space 2} .1145117{col 45}{space 1}   -1.04{col 54}{space 3}0.300{col 62}{space 4}-.3439768{col 75}{space 3}  .106098
{txt}{space 11}treat_neg {c |}{col 22}{res}{space 2}-.3189394{col 34}{space 2} .1428099{col 45}{space 1}   -2.23{col 54}{space 3}0.026{col 62}{space 4}-.5995882{col 75}{space 3}-.0382906
{txt}{space 12}democrat {c |}{col 22}{res}{space 2}-.0116667{col 34}{space 2} .1101797{col 45}{space 1}   -0.11{col 54}{space 3}0.916{col 62}{space 4}-.2281909{col 75}{space 3} .2048576
{txt}{space 10}republican {c |}{col 22}{res}{space 2} .0504386{col 34}{space 2} .1763344{col 45}{space 1}    0.29{col 54}{space 3}0.775{col 62}{space 4}-.2960923{col 75}{space 3} .3969695
{txt}{space 2}treat_posXdemocrat {c |}{col 22}{res}{space 2} .0701222{col 34}{space 2} .1500736{col 45}{space 1}    0.47{col 54}{space 3}0.641{col 62}{space 4}-.2248012{col 75}{space 3} .3650456
{txt}{space 2}treat_negXdemocrat {c |}{col 22}{res}{space 2} .3672222{col 34}{space 2} .1655521{col 45}{space 1}    2.22{col 54}{space 3}0.027{col 62}{space 4} .0418808{col 75}{space 3} .6925637
{txt}treat_posXrepublican {c |}{col 22}{res}{space 2}-.0009436{col 34}{space 2} .2108444{col 45}{space 1}   -0.00{col 54}{space 3}0.996{col 62}{space 4}-.4152933{col 75}{space 3}  .413406
{txt}treat_negXrepublican {c |}{col 22}{res}{space 2} .2950159{col 34}{space 2} .2215344{col 45}{space 1}    1.33{col 54}{space 3}0.184{col 62}{space 4}-.1403416{col 75}{space 3} .7303735
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.791667{col 34}{space 2}  .083714{col 45}{space 1}   45.29{col 54}{space 3}0.000{col 62}{space 4} 3.627153{col 75}{space 3} 3.956181
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg using "A4_party_regressions", se bracket tdec(3) append label 
{txt}
{com}. 
. reg likely_to_vote treat_pos treat_neg democrat republican treat_posXdemocrat treat_negXdemocrat treat_posXrepublican treat_negXrepublican *income *income_mis *educ *female *age *r_white *mail_last_month, r

{txt}Linear regression                               Number of obs     = {res}       633
                                                {txt}F(29, 603)        =  {res}     2.80
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1193
                                                {txt}Root MSE          =    {res} .70783

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}           likely_to_vote{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}treat_pos {c |}{col 27}{res}{space 2} .2080018{col 39}{space 2} .4408753{col 50}{space 1}    0.47{col 59}{space 3}0.637{col 67}{space 4}-.6578358{col 80}{space 3} 1.073839
{txt}{space 16}treat_neg {c |}{col 27}{res}{space 2}  .221893{col 39}{space 2} .4196068{col 50}{space 1}    0.53{col 59}{space 3}0.597{col 67}{space 4}-.6021753{col 80}{space 3} 1.045961
{txt}{space 17}democrat {c |}{col 27}{res}{space 2}-.0212792{col 39}{space 2} .1260876{col 50}{space 1}   -0.17{col 59}{space 3}0.866{col 67}{space 4}-.2689034{col 80}{space 3} .2263451
{txt}{space 15}republican {c |}{col 27}{res}{space 2} .1481456{col 39}{space 2} .1810047{col 50}{space 1}    0.82{col 59}{space 3}0.413{col 67}{space 4}-.2073306{col 80}{space 3} .5036217
{txt}{space 7}treat_posXdemocrat {c |}{col 27}{res}{space 2}  .195892{col 39}{space 2} .1688682{col 50}{space 1}    1.16{col 59}{space 3}0.246{col 67}{space 4}-.1357492{col 80}{space 3} .5275332
{txt}{space 7}treat_negXdemocrat {c |}{col 27}{res}{space 2} .4683112{col 39}{space 2} .1776344{col 50}{space 1}    2.64{col 59}{space 3}0.009{col 67}{space 4}  .119454{col 80}{space 3} .8171685
{txt}{space 5}treat_posXrepublican {c |}{col 27}{res}{space 2}-.0310215{col 39}{space 2} .2233575{col 50}{space 1}   -0.14{col 59}{space 3}0.890{col 67}{space 4}-.4696746{col 80}{space 3} .4076315
{txt}{space 5}treat_negXrepublican {c |}{col 27}{res}{space 2} .3131788{col 39}{space 2} .2276836{col 50}{space 1}    1.38{col 59}{space 3}0.169{col 67}{space 4}-.1339704{col 80}{space 3} .7603279
{txt}{space 19}income {c |}{col 27}{res}{space 2} .0237053{col 39}{space 2} .0218469{col 50}{space 1}    1.09{col 59}{space 3}0.278{col 67}{space 4}-.0191999{col 80}{space 3} .0666106
{txt}{space 9}treat_posXincome {c |}{col 27}{res}{space 2} .0013211{col 39}{space 2} .0258185{col 50}{space 1}    0.05{col 59}{space 3}0.959{col 67}{space 4}-.0493839{col 80}{space 3} .0520262
{txt}{space 9}treat_negXincome {c |}{col 27}{res}{space 2} -.008982{col 39}{space 2} .0288633{col 50}{space 1}   -0.31{col 59}{space 3}0.756{col 67}{space 4}-.0656667{col 80}{space 3} .0477027
{txt}{space 15}income_mis {c |}{col 27}{res}{space 2}-.3220867{col 39}{space 2} .3706104{col 50}{space 1}   -0.87{col 59}{space 3}0.385{col 67}{space 4}-1.049931{col 80}{space 3} .4057573
{txt}{space 5}treat_posXincome_mis {c |}{col 27}{res}{space 2} .1040935{col 39}{space 2} .4252225{col 50}{space 1}    0.24{col 59}{space 3}0.807{col 67}{space 4}-.7310034{col 80}{space 3} .9391905
{txt}{space 5}treat_negXincome_mis {c |}{col 27}{res}{space 2} .2067539{col 39}{space 2} .4256067{col 50}{space 1}    0.49{col 59}{space 3}0.627{col 67}{space 4}-.6290976{col 80}{space 3} 1.042605
{txt}{space 21}educ {c |}{col 27}{res}{space 2} .1389903{col 39}{space 2} .0426264{col 50}{space 1}    3.26{col 59}{space 3}0.001{col 67}{space 4} .0552759{col 80}{space 3} .2227046
{txt}{space 11}treat_posXeduc {c |}{col 27}{res}{space 2}-.1301818{col 39}{space 2} .0569378{col 50}{space 1}   -2.29{col 59}{space 3}0.023{col 67}{space 4}-.2420023{col 80}{space 3}-.0183612
{txt}{space 11}treat_negXeduc {c |}{col 27}{res}{space 2}-.1711485{col 39}{space 2} .0588062{col 50}{space 1}   -2.91{col 59}{space 3}0.004{col 67}{space 4}-.2866383{col 80}{space 3}-.0556587
{txt}{space 19}female {c |}{col 27}{res}{space 2} .1730502{col 39}{space 2} .1161948{col 50}{space 1}    1.49{col 59}{space 3}0.137{col 67}{space 4}-.0551454{col 80}{space 3} .4012459
{txt}{space 9}treat_posXfemale {c |}{col 27}{res}{space 2} -.141229{col 39}{space 2} .1520224{col 50}{space 1}   -0.93{col 59}{space 3}0.353{col 67}{space 4}-.4397866{col 80}{space 3} .1573286
{txt}{space 9}treat_negXfemale {c |}{col 27}{res}{space 2}-.1522421{col 39}{space 2} .1516679{col 50}{space 1}   -1.00{col 59}{space 3}0.316{col 67}{space 4}-.4501035{col 80}{space 3} .1456194
{txt}{space 22}age {c |}{col 27}{res}{space 2} .0014327{col 39}{space 2} .0056336{col 50}{space 1}    0.25{col 59}{space 3}0.799{col 67}{space 4}-.0096312{col 80}{space 3} .0124966
{txt}{space 12}treat_posXage {c |}{col 27}{res}{space 2} .0078213{col 39}{space 2} .0073303{col 50}{space 1}    1.07{col 59}{space 3}0.286{col 67}{space 4}-.0065747{col 80}{space 3} .0222173
{txt}{space 12}treat_negXage {c |}{col 27}{res}{space 2} .0036901{col 39}{space 2} .0069664{col 50}{space 1}    0.53{col 59}{space 3}0.597{col 67}{space 4}-.0099913{col 80}{space 3} .0173715
{txt}{space 18}r_white {c |}{col 27}{res}{space 2} .0982869{col 39}{space 2} .1617276{col 50}{space 1}    0.61{col 59}{space 3}0.544{col 67}{space 4}-.2193309{col 80}{space 3} .4159047
{txt}{space 8}treat_posXr_white {c |}{col 27}{res}{space 2}-.1563758{col 39}{space 2} .1927596{col 50}{space 1}   -0.81{col 59}{space 3}0.418{col 67}{space 4}-.5349374{col 80}{space 3} .2221859
{txt}{space 8}treat_negXr_white {c |}{col 27}{res}{space 2}-.0855574{col 39}{space 2} .2081733{col 50}{space 1}   -0.41{col 59}{space 3}0.681{col 67}{space 4}-.4943902{col 80}{space 3} .3232754
{txt}{space 10}mail_last_month {c |}{col 27}{res}{space 2} .0589705{col 39}{space 2} .0497219{col 50}{space 1}    1.19{col 59}{space 3}0.236{col 67}{space 4}-.0386786{col 80}{space 3} .1566197
{txt}treat_posXmail_last_month {c |}{col 27}{res}{space 2} .0108291{col 39}{space 2} .0641134{col 50}{space 1}    0.17{col 59}{space 3}0.866{col 67}{space 4}-.1150835{col 80}{space 3} .1367417
{txt}treat_negXmail_last_month {c |}{col 27}{res}{space 2} .0649457{col 39}{space 2} .0636483{col 50}{space 1}    1.02{col 59}{space 3}0.308{col 67}{space 4}-.0600536{col 80}{space 3}  .189945
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 2.684905{col 39}{space 2} .3610515{col 50}{space 1}    7.44{col 59}{space 3}0.000{col 67}{space 4} 1.975834{col 80}{space 3} 3.393976
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg using "A4_party_regressions", se bracket tdec(3) append label 
{txt}
{com}. 
. reg likely_to_vote treat_pos treat_neg democrat republican treat_posXdemocrat treat_negXdemocrat treat_posXrepublican treat_negXrepublican *income *income_mis *educ *female *age *r_white *mail_last_month if likely_voter, r

{txt}Linear regression                               Number of obs     = {res}       464
                                                {txt}F(29, 434)        =  {res}     1.41
                                                {txt}Prob > F          = {res}    0.0777
                                                {txt}R-squared         = {res}    0.0695
                                                {txt}Root MSE          =    {res} .57994

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}           likely_to_vote{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}treat_pos {c |}{col 27}{res}{space 2} .0062124{col 39}{space 2} .3254561{col 50}{space 1}    0.02{col 59}{space 3}0.985{col 67}{space 4}-.6334536{col 80}{space 3} .6458785
{txt}{space 16}treat_neg {c |}{col 27}{res}{space 2}-.0831752{col 39}{space 2} .3073499{col 50}{space 1}   -0.27{col 59}{space 3}0.787{col 67}{space 4}-.6872546{col 80}{space 3} .5209042
{txt}{space 17}democrat {c |}{col 27}{res}{space 2}-.0159424{col 39}{space 2} .1214944{col 50}{space 1}   -0.13{col 59}{space 3}0.896{col 67}{space 4} -.254733{col 80}{space 3} .2228482
{txt}{space 15}republican {c |}{col 27}{res}{space 2} .0341196{col 39}{space 2} .2050639{col 50}{space 1}    0.17{col 59}{space 3}0.868{col 67}{space 4}-.3689222{col 80}{space 3} .4371614
{txt}{space 7}treat_posXdemocrat {c |}{col 27}{res}{space 2} .0928208{col 39}{space 2} .1632688{col 50}{space 1}    0.57{col 59}{space 3}0.570{col 67}{space 4}-.2280751{col 80}{space 3} .4137167
{txt}{space 7}treat_negXdemocrat {c |}{col 27}{res}{space 2} .3553096{col 39}{space 2} .1757342{col 50}{space 1}    2.02{col 59}{space 3}0.044{col 67}{space 4} .0099137{col 80}{space 3} .7007055
{txt}{space 5}treat_posXrepublican {c |}{col 27}{res}{space 2} .0039823{col 39}{space 2} .2348292{col 50}{space 1}    0.02{col 59}{space 3}0.986{col 67}{space 4}-.4575615{col 80}{space 3} .4655262
{txt}{space 5}treat_negXrepublican {c |}{col 27}{res}{space 2} .2719672{col 39}{space 2} .2470517{col 50}{space 1}    1.10{col 59}{space 3}0.272{col 67}{space 4}-.2135992{col 80}{space 3} .7575337
{txt}{space 19}income {c |}{col 27}{res}{space 2} .0103767{col 39}{space 2} .0160249{col 50}{space 1}    0.65{col 59}{space 3}0.518{col 67}{space 4}-.0211193{col 80}{space 3} .0418727
{txt}{space 9}treat_posXincome {c |}{col 27}{res}{space 2} .0071202{col 39}{space 2} .0220638{col 50}{space 1}    0.32{col 59}{space 3}0.747{col 67}{space 4}-.0362449{col 80}{space 3} .0504854
{txt}{space 9}treat_negXincome {c |}{col 27}{res}{space 2} .0015275{col 39}{space 2} .0217256{col 50}{space 1}    0.07{col 59}{space 3}0.944{col 67}{space 4}-.0411729{col 80}{space 3}  .044228
{txt}{space 15}income_mis {c |}{col 27}{res}{space 2} .0601134{col 39}{space 2} .1456757{col 50}{space 1}    0.41{col 59}{space 3}0.680{col 67}{space 4}-.2262042{col 80}{space 3}  .346431
{txt}{space 5}treat_posXincome_mis {c |}{col 27}{res}{space 2}-.0747012{col 39}{space 2} .2242612{col 50}{space 1}   -0.33{col 59}{space 3}0.739{col 67}{space 4}-.5154742{col 80}{space 3} .3660718
{txt}{space 5}treat_negXincome_mis {c |}{col 27}{res}{space 2}-.2140041{col 39}{space 2} .2504343{col 50}{space 1}   -0.85{col 59}{space 3}0.393{col 67}{space 4} -.706219{col 80}{space 3} .2782108
{txt}{space 21}educ {c |}{col 27}{res}{space 2} .0644878{col 39}{space 2} .0345712{col 50}{space 1}    1.87{col 59}{space 3}0.063{col 67}{space 4}  -.00346{col 80}{space 3} .1324355
{txt}{space 11}treat_posXeduc {c |}{col 27}{res}{space 2}-.0813432{col 39}{space 2}  .051913{col 50}{space 1}   -1.57{col 59}{space 3}0.118{col 67}{space 4}-.1833754{col 80}{space 3} .0206889
{txt}{space 11}treat_negXeduc {c |}{col 27}{res}{space 2}-.1197907{col 39}{space 2} .0530737{col 50}{space 1}   -2.26{col 59}{space 3}0.025{col 67}{space 4}-.2241042{col 80}{space 3}-.0154772
{txt}{space 19}female {c |}{col 27}{res}{space 2} .0149734{col 39}{space 2} .1123853{col 50}{space 1}    0.13{col 59}{space 3}0.894{col 67}{space 4}-.2059136{col 80}{space 3} .2358604
{txt}{space 9}treat_posXfemale {c |}{col 27}{res}{space 2}-.0199081{col 39}{space 2} .1466018{col 50}{space 1}   -0.14{col 59}{space 3}0.892{col 67}{space 4} -.308046{col 80}{space 3} .2682297
{txt}{space 9}treat_negXfemale {c |}{col 27}{res}{space 2}-.0426562{col 39}{space 2} .1473767{col 50}{space 1}   -0.29{col 59}{space 3}0.772{col 67}{space 4} -.332317{col 80}{space 3} .2470046
{txt}{space 22}age {c |}{col 27}{res}{space 2} .0005775{col 39}{space 2} .0050519{col 50}{space 1}    0.11{col 59}{space 3}0.909{col 67}{space 4}-.0093517{col 80}{space 3} .0105066
{txt}{space 12}treat_posXage {c |}{col 27}{res}{space 2} .0025554{col 39}{space 2}  .006944{col 50}{space 1}    0.37{col 59}{space 3}0.713{col 67}{space 4}-.0110927{col 80}{space 3} .0162034
{txt}{space 12}treat_negXage {c |}{col 27}{res}{space 2} .0044858{col 39}{space 2} .0059609{col 50}{space 1}    0.75{col 59}{space 3}0.452{col 67}{space 4}-.0072301{col 80}{space 3} .0162018
{txt}{space 18}r_white {c |}{col 27}{res}{space 2}-.0513242{col 39}{space 2}  .135237{col 50}{space 1}   -0.38{col 59}{space 3}0.704{col 67}{space 4}-.3171251{col 80}{space 3} .2144767
{txt}{space 8}treat_posXr_white {c |}{col 27}{res}{space 2} -.027194{col 39}{space 2}  .169459{col 50}{space 1}   -0.16{col 59}{space 3}0.873{col 67}{space 4}-.3602563{col 80}{space 3} .3058683
{txt}{space 8}treat_negXr_white {c |}{col 27}{res}{space 2} .0634981{col 39}{space 2} .1885789{col 50}{space 1}    0.34{col 59}{space 3}0.736{col 67}{space 4}-.3071433{col 80}{space 3} .4341396
{txt}{space 10}mail_last_month {c |}{col 27}{res}{space 2} .0095891{col 39}{space 2} .0492695{col 50}{space 1}    0.19{col 59}{space 3}0.846{col 67}{space 4}-.0872474{col 80}{space 3} .1064255
{txt}treat_posXmail_last_month {c |}{col 27}{res}{space 2} .0457069{col 39}{space 2} .0647267{col 50}{space 1}    0.71{col 59}{space 3}0.480{col 67}{space 4}-.0815098{col 80}{space 3} .1729237
{txt}treat_negXmail_last_month {c |}{col 27}{res}{space 2} .0398731{col 39}{space 2} .0590749{col 50}{space 1}    0.67{col 59}{space 3}0.500{col 67}{space 4}-.0762353{col 80}{space 3} .1559816
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 3.466967{col 39}{space 2} .2178404{col 50}{space 1}   15.92{col 59}{space 3}0.000{col 67}{space 4} 3.038813{col 80}{space 3}  3.89512
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg using "A4_party_regressions", se bracket tdec(3) append label 
{txt}
{com}. 
. 
. 
. ****Figure A1: Treatment Effects by Partisanship (Survey Experiment)
. reg likely_to_vote treat_pos treat_neg if republican==1, r

{txt}Linear regression                               Number of obs     = {res}       111
                                                {txt}F(2, 108)         =  {res}     0.68
                                                {txt}Prob > F          = {res}    0.5105
                                                {txt}R-squared         = {res}    0.0141
                                                {txt}Root MSE          =    {res} .58814

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}likely_to_~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treat_pos {c |}{col 14}{res}{space 2} -.173913{col 26}{space 2} .1644117{col 37}{space 1}   -1.06{col 46}{space 3}0.293{col 54}{space 4}-.4998057{col 67}{space 3} .1519796
{txt}{space 3}treat_neg {c |}{col 14}{res}{space 2}-.0641822{col 26}{space 2} .1538882{col 37}{space 1}   -0.42{col 46}{space 3}0.677{col 54}{space 4}-.3692153{col 67}{space 3} .2408509
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.826087{col 26}{space 2} .1344512{col 37}{space 1}   28.46{col 46}{space 3}0.000{col 54}{space 4} 3.559581{col 67}{space 3} 4.092593
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo republican
{txt}
{com}. 
. reg likely_to_vote treat_pos treat_neg if likely_voter & republican==1, r

{txt}Linear regression                               Number of obs     = {res}        88
                                                {txt}F(2, 85)          =  {res}     0.45
                                                {txt}Prob > F          = {res}    0.6385
                                                {txt}R-squared         = {res}    0.0105
                                                {txt}Root MSE          =    {res} .51629

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}likely_to_~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treat_pos {c |}{col 14}{res}{space 2} -.119883{col 26}{space 2} .1783795{col 37}{space 1}   -0.67{col 46}{space 3}0.503{col 54}{space 4}-.4745494{col 67}{space 3} .2347833
{txt}{space 3}treat_neg {c |}{col 14}{res}{space 2}-.0239234{col 26}{space 2} .1706435{col 37}{space 1}   -0.14{col 46}{space 3}0.889{col 54}{space 4}-.3632084{col 67}{space 3} .3153615
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.842105{col 26}{space 2}  .156372{col 37}{space 1}   24.57{col 46}{space 3}0.000{col 54}{space 4} 3.531196{col 67}{space 3} 4.153015
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo republican_lvs
{txt}
{com}. 
. reg likely_to_vote treat_pos treat_neg if democrat==1, r

{txt}Linear regression                               Number of obs     = {res}       314
                                                {txt}F(2, 311)         =  {res}     0.52
                                                {txt}Prob > F          = {res}    0.5969
                                                {txt}R-squared         = {res}    0.0032
                                                {txt}Root MSE          =    {res}  .6696

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}likely_to_~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treat_pos {c |}{col 14}{res}{space 2}-.0073443{col 26}{space 2} .1094303{col 37}{space 1}   -0.07{col 46}{space 3}0.947{col 54}{space 4}-.2226616{col 67}{space 3} .2079731
{txt}{space 3}treat_neg {c |}{col 14}{res}{space 2} .0715932{col 26}{space 2} .1061032{col 37}{space 1}    0.67{col 46}{space 3}0.500{col 54}{space 4}-.1371776{col 67}{space 3} .2803641
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.639344{col 26}{space 2} .0903212{col 37}{space 1}   40.29{col 46}{space 3}0.000{col 54}{space 4} 3.461626{col 67}{space 3} 3.817062
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo democrat
{txt}
{com}. 
. reg likely_to_vote treat_pos treat_neg if likely_voter & democrat==1, r

{txt}Linear regression                               Number of obs     = {res}       242
                                                {txt}F(2, 239)         =  {res}     0.80
                                                {txt}Prob > F          = {res}    0.4514
                                                {txt}R-squared         = {res}    0.0067
                                                {txt}Root MSE          =    {res} .52923

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}likely_to_~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treat_pos {c |}{col 14}{res}{space 2}-.0488172{col 26}{space 2} .0966565{col 37}{space 1}   -0.51{col 46}{space 3}0.614{col 54}{space 4}-.2392246{col 67}{space 3} .1415902
{txt}{space 3}treat_neg {c |}{col 14}{res}{space 2} .0482828{col 26}{space 2} .0834453{col 37}{space 1}    0.58{col 46}{space 3}0.563{col 54}{space 4}-.1160993{col 67}{space 3} .2126649
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}     3.78{col 26}{space 2} .0713804{col 37}{space 1}   52.96{col 46}{space 3}0.000{col 54}{space 4} 3.639385{col 67}{space 3} 3.920615
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo democrat_lvs
{txt}
{com}. 
. reg likely_to_vote treat_pos treat_neg if independent==1, r

{txt}Linear regression                               Number of obs     = {res}       208
                                                {txt}F(2, 205)         =  {res}     4.17
                                                {txt}Prob > F          = {res}    0.0167
                                                {txt}R-squared         = {res}    0.0348
                                                {txt}Root MSE          =    {res} .85173

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}likely_to_~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treat_pos {c |}{col 14}{res}{space 2}-.1745027{col 26}{space 2}  .129413{col 37}{space 1}   -1.35{col 46}{space 3}0.179{col 54}{space 4}-.4296539{col 67}{space 3} .0806484
{txt}{space 3}treat_neg {c |}{col 14}{res}{space 2}-.4129721{col 26}{space 2} .1429891{col 37}{space 1}   -2.89{col 46}{space 3}0.004{col 54}{space 4}  -.69489{col 67}{space 3}-.1310542
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.642857{col 26}{space 2} .0948557{col 37}{space 1}   38.40{col 46}{space 3}0.000{col 54}{space 4} 3.455839{col 67}{space 3} 3.829875
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo indep
{txt}
{com}. reg likely_to_vote treat_pos treat_neg if likely_voter==1 & independent==1, r

{txt}Linear regression                               Number of obs     = {res}       134
                                                {txt}F(2, 131)         =  {res}     2.49
                                                {txt}Prob > F          = {res}    0.0868
                                                {txt}R-squared         = {res}    0.0320
                                                {txt}Root MSE          =    {res} .68671

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}likely_to_~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treat_pos {c |}{col 14}{res}{space 2}-.1189394{col 26}{space 2} .1146868{col 37}{space 1}   -1.04{col 46}{space 3}0.302{col 54}{space 4}-.3458172{col 67}{space 3} .1079384
{txt}{space 3}treat_neg {c |}{col 14}{res}{space 2}-.3189394{col 26}{space 2} .1430282{col 37}{space 1}   -2.23{col 46}{space 3}0.027{col 54}{space 4}-.6018833{col 67}{space 3}-.0359954
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.791667{col 26}{space 2}  .083842{col 37}{space 1}   45.22{col 46}{space 3}0.000{col 54}{space 4} 3.625807{col 67}{space 3} 3.957526
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo indep_lvs
{txt}
{com}. 
. coefplot (indep, msymbol(T) connect(none) mcolor(black)  ciopts(lcolor(black) lwidth(thin) msize(vtiny)) label(Independents)) (indep_lvs, msymbol(T) connect(none) mcolor(gs10)  ciopts(lcolor(gs10) lwidth(thin) msize(vtiny))) (blank) (republican, msymbol(S) connect(none) mcolor(black)  ciopts(lcolor(black) lwidth(thin) msize(vtiny)) label(Republicans)) (republican_lvs, msymbol(S) connect(none) mcolor(gs10)  ciopts(lcolor(gs10) lwidth(thin) msize(vtiny))) (blank) (democrat, msymbol(D) connect(none) mcolor(black)  ciopts(lcolor(black) lwidth(thin) msize(vtiny)) label(Democrats)) (democrat, msymbol(D) connect(none) mcolor(gs10)  ciopts(lcolor(gs10) lwidth(thin) msize(vtiny))) (blank)  , vertical  keep(treat_pos treat_neg)  yline(0, lcolor(black)) legend(order(2 7 12) region(lcolor(white) color(none)) span cols(4)  size(small)) level(95) ytitle("Effect on Intent to Turnout",  size(medsmall)) graphregion(fcolor(white) lcolor(none) ilcolor(none) color(white) lwidth(large)) xscale(lw(none)) ylabel(-.75(.25).25) 
{res}{txt}(blank: no coefficients found, all dropped, or none kept)
{res}{txt}(blank: no coefficients found, all dropped, or none kept)
{res}{txt}(blank: no coefficients found, all dropped, or none kept)
{res}{p 0 4 2}
{txt}(note:  named style
large not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. graph export "Fig_A1_treatment_fx_byparty.eps", as(eps) replace
{txt}(file Fig_A1_treatment_fx_byparty.eps written in EPS format)

{com}. 
. //restore back to core set of interactions
. restore
{txt}
{com}. 
. *** Table A5: Outcome Means and Standard Deviations by Experimental Condition
. //0 indicator to use in table command
. gen null=0
{txt}
{com}. //build three category variable so columns define treatment conditions
. gen fulltreat=0
{txt}
{com}. replace fulltreat=1 if treat_pos
{txt}(1,064 real changes made)

{com}. replace fulltreat=2 if treat_neg
{txt}(1,063 real changes made)

{com}. 
. table null fulltreat if fe_1==1, c(mean likely_to_vote sem likely_to_vote freq)

{txt}{hline 10}{c TT}{hline 29}
          {c |}          fulltreat          
     null {c |}        0         1         2
{hline 10}{c +}{hline 29}
        0 {c |}  {res}3.78641   3.83037    3.8668
          {txt}{c |} {res}.0259681  .0236436  .0215014
          {txt}{c |}      {res}515       507       518
{txt}{hline 10}{c BT}{hline 29}

{com}. table null fulltreat if fe_2==1, c(mean likely_to_vote sem likely_to_vote freq)

{txt}{hline 10}{c TT}{hline 29}
          {c |}          fulltreat          
     null {c |}        0         1         2
{hline 10}{c +}{hline 29}
        0 {c |}  {res}3.80065   3.89577   3.90278
          {txt}{c |} {res}.0341494  .0262363  .0253884
          {txt}{c |}      {res}306       307       288
{txt}{hline 10}{c BT}{hline 29}

{com}. table null fulltreat if survey_experiment==1, c(mean likely_to_vote sem likely_to_vote freq)

{txt}{hline 10}{c TT}{hline 29}
          {c |}          fulltreat          
     null {c |}        0         1         2
{hline 10}{c +}{hline 29}
        0 {c |}   {res}3.6746     3.584   3.55642
          {txt}{c |} {res}.0594465  .0451212  .0492267
          {txt}{c |}      {res}126       250       257
{txt}{hline 10}{c BT}{hline 29}

{com}. table null fulltreat if likely_voter==1, c(mean likely_to_vote sem likely_to_vote freq)

{txt}{hline 10}{c TT}{hline 29}
          {c |}          fulltreat          
     null {c |}        0         1         2
{hline 10}{c +}{hline 29}
        0 {c |}   {res}3.7957   3.71196   3.72193
          {txt}{c |} {res}.0541826  .0435061   .044066
          {txt}{c |}       {res}93       184       187
{txt}{hline 10}{c BT}{hline 29}

{com}. table null fulltreat if independent==1, c(mean likely_to_vote sem likely_to_vote freq)

{txt}{hline 10}{c TT}{hline 29}
          {c |}          fulltreat          
     null {c |}        0         1         2
{hline 10}{c +}{hline 29}
        0 {c |}  {res}3.64286   3.46835   3.22989
          {txt}{c |} {res}.0953107  .0879561   .106838
          {txt}{c |}       {res}42        79        87
{txt}{hline 10}{c BT}{hline 29}

{com}. table null fulltreat if likely_voter==1 & independent==1, c(mean likely_to_vote sem likely_to_vote freq)

{txt}{hline 10}{c TT}{hline 29}
          {c |}          fulltreat          
     null {c |}        0         1         2
{hline 10}{c +}{hline 29}
        0 {c |}  {res}3.79167   3.67273   3.47273
          {txt}{c |} {res}.0846811  .0780854   .115629
          {txt}{c |}       {res}24        55        55
{txt}{hline 10}{c BT}{hline 29}

{com}. 
. *** Table A6: Ordered Logit Models Mirroring OLS Models Presented in Table A7
. ologit likely_to_vote treat_pos* treat_neg* fe_1 fe_2, r

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1616.6505}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1551.5616}  
Iteration 2:{space 3}log pseudolikelihood = {res: -1541.698}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1541.6755}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1541.6755}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     3,074
{txt}{col 49}Wald chi2({res}8{txt}){col 67}= {res}    147.68
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1541.6755{txt}{col 49}Pseudo R2{col 67}= {res}    0.0464

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}likely_to_vote{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}treat_pos {c |}{col 16}{res}{space 2}-.3493993{col 28}{space 2} .2389807{col 39}{space 1}   -1.46{col 48}{space 3}0.144{col 56}{space 4}-.8177928{col 69}{space 3} .1189943
{txt}treat_posXfe_1 {c |}{col 16}{res}{space 2} .6495552{col 28}{space 2} .3073256{col 39}{space 1}    2.11{col 48}{space 3}0.035{col 56}{space 4} .0472081{col 69}{space 3} 1.251902
{txt}treat_posXfe_2 {c |}{col 16}{res}{space 2} 1.147649{col 28}{space 2} .3947124{col 39}{space 1}    2.91{col 48}{space 3}0.004{col 56}{space 4} .3740264{col 69}{space 3} 1.921271
{txt}{space 5}treat_neg {c |}{col 16}{res}{space 2}-.3387079{col 28}{space 2} .2421167{col 39}{space 1}   -1.40{col 48}{space 3}0.162{col 56}{space 4} -.813248{col 69}{space 3} .1358321
{txt}treat_negXfe_1 {c |}{col 16}{res}{space 2} .8762572{col 28}{space 2} .3146933{col 39}{space 1}    2.78{col 48}{space 3}0.005{col 56}{space 4} .2594696{col 69}{space 3} 1.493045
{txt}treat_negXfe_2 {c |}{col 16}{res}{space 2} 1.138979{col 28}{space 2} .4006069{col 39}{space 1}    2.84{col 48}{space 3}0.004{col 56}{space 4} .3538038{col 69}{space 3} 1.924154
{txt}{space 10}fe_1 {c |}{col 16}{res}{space 2} .5789283{col 28}{space 2} .2402004{col 39}{space 1}    2.41{col 48}{space 3}0.016{col 56}{space 4} .1081442{col 69}{space 3} 1.049712
{txt}{space 10}fe_2 {c |}{col 16}{res}{space 2} .7832492{col 28}{space 2} .2750795{col 39}{space 1}    2.85{col 48}{space 3}0.004{col 56}{space 4} .2441034{col 69}{space 3} 1.322395
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
         /cut1 {c |}{col 16}{res}{space 2}-3.609089{col 28}{space 2} .2409395{col 56}{space 4}-4.081322{col 69}{space 3}-3.136856
{txt}         /cut2 {c |}{col 16}{res}{space 2}-2.228148{col 28}{space 2} .2091613{col 56}{space 4}-2.638097{col 69}{space 3}-1.818199
{txt}         /cut3 {c |}{col 16}{res}{space 2}-1.236239{col 28}{space 2} .2041968{col 56}{space 4}-1.636457{col 69}{space 3}-.8360206
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using "A6_ologit", se bracket tdec(3) replace label excel
{txt}{browse `"A6_ologit.xml"'}
{browse `"C:\Users\ddoherty\Dropbox\My Work Documents\Field v. Survey Experiment Paper\Replication Archive\tables"' :dir}{com} : {txt}{stata `"seeout using "A6_ologit.txt", label"':seeout}

{com}. 
. ologit likely_to_vote treat_pos* treat_neg* fe_1 fe_2 if (likely_voter==1 | likely_voter==.), r

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1346.8554}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1318.0965}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1315.6278}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1315.6211}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1315.6211}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     2,905
{txt}{col 49}Wald chi2({res}8{txt}){col 67}= {res}     61.15
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1315.6211{txt}{col 49}Pseudo R2{col 67}= {res}    0.0232

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}likely_to_vote{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}treat_pos {c |}{col 16}{res}{space 2}-.4056177{col 28}{space 2} .3152205{col 39}{space 1}   -1.29{col 48}{space 3}0.198{col 56}{space 4}-1.023439{col 69}{space 3} .2122031
{txt}treat_posXfe_1 {c |}{col 16}{res}{space 2}  .705523{col 28}{space 2} .3696373{col 39}{space 1}    1.91{col 48}{space 3}0.056{col 56}{space 4}-.0189529{col 69}{space 3} 1.429999
{txt}treat_posXfe_2 {c |}{col 16}{res}{space 2} 1.203403{col 28}{space 2} .4449344{col 39}{space 1}    2.70{col 48}{space 3}0.007{col 56}{space 4} .3313472{col 69}{space 3} 2.075458
{txt}{space 5}treat_neg {c |}{col 16}{res}{space 2}-.3337609{col 28}{space 2} .3176896{col 39}{space 1}   -1.05{col 48}{space 3}0.293{col 56}{space 4}-.9564212{col 69}{space 3} .2888993
{txt}treat_negXfe_1 {c |}{col 16}{res}{space 2} .8708459{col 28}{space 2} .3758714{col 39}{space 1}    2.32{col 48}{space 3}0.021{col 56}{space 4} .1341516{col 69}{space 3}  1.60754
{txt}treat_negXfe_2 {c |}{col 16}{res}{space 2} 1.133598{col 28}{space 2} .4502306{col 39}{space 1}    2.52{col 48}{space 3}0.012{col 56}{space 4} .2511624{col 69}{space 3} 2.016034
{txt}{space 10}fe_1 {c |}{col 16}{res}{space 2} .1274663{col 28}{space 2} .2981203{col 39}{space 1}    0.43{col 48}{space 3}0.669{col 56}{space 4}-.4568388{col 69}{space 3} .7117713
{txt}{space 10}fe_2 {c |}{col 16}{res}{space 2} .3315479{col 28}{space 2} .3267414{col 39}{space 1}    1.01{col 48}{space 3}0.310{col 56}{space 4}-.3088535{col 69}{space 3} .9719493
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
         /cut1 {c |}{col 16}{res}{space 2} -4.07804{col 28}{space 2} .3106756{col 56}{space 4}-4.686953{col 69}{space 3}-3.469127
{txt}         /cut2 {c |}{col 16}{res}{space 2}-2.660289{col 28}{space 2} .2718003{col 56}{space 4}-3.193008{col 69}{space 3}-2.127571
{txt}         /cut3 {c |}{col 16}{res}{space 2}-1.688717{col 28}{space 2} .2702258{col 56}{space 4} -2.21835{col 69}{space 3}-1.159084
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using "A6_ologit", se bracket tdec(3) append label excel
{txt}{browse `"A6_ologit.xml"'}
{browse `"C:\Users\ddoherty\Dropbox\My Work Documents\Field v. Survey Experiment Paper\Replication Archive\tables"' :dir}{com} : {txt}{stata `"seeout using "A6_ologit.txt", label"':seeout}

{com}. 
. ologit likely_to_vote treat_pos* treat_neg* fe_1 fe_2 if (democrat==0 | democrat==.) & (republican==0 | republican==.), r

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1285.9547}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1254.6166}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1218.2725}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1217.9294}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1217.9292}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1217.9292}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     2,649
{txt}{col 49}Wald chi2({res}8{txt}){col 67}= {res}    151.73
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1217.9292{txt}{col 49}Pseudo R2{col 67}= {res}    0.0529

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}likely_to_vote{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}treat_pos {c |}{col 16}{res}{space 2}-.4120616{col 28}{space 2} .3626543{col 39}{space 1}   -1.14{col 48}{space 3}0.256{col 56}{space 4}-1.122851{col 69}{space 3} .2987279
{txt}treat_posXfe_1 {c |}{col 16}{res}{space 2} .7106393{col 28}{space 2} .4103386{col 39}{space 1}    1.73{col 48}{space 3}0.083{col 56}{space 4}-.0936096{col 69}{space 3} 1.514888
{txt}treat_posXfe_2 {c |}{col 16}{res}{space 2} 1.206825{col 28}{space 2} .4790564{col 39}{space 1}    2.52{col 48}{space 3}0.012{col 56}{space 4} .2678921{col 69}{space 3} 2.145759
{txt}{space 5}treat_neg {c |}{col 16}{res}{space 2}-.8129513{col 28}{space 2} .3608397{col 39}{space 1}   -2.25{col 48}{space 3}0.024{col 56}{space 4}-1.520184{col 69}{space 3}-.1057185
{txt}treat_negXfe_1 {c |}{col 16}{res}{space 2} 1.347154{col 28}{space 2} .4125943{col 39}{space 1}    3.27{col 48}{space 3}0.001{col 56}{space 4} .5384841{col 69}{space 3} 2.155824
{txt}treat_negXfe_2 {c |}{col 16}{res}{space 2} 1.609832{col 28}{space 2} .4809208{col 39}{space 1}    3.35{col 48}{space 3}0.001{col 56}{space 4} .6672443{col 69}{space 3} 2.552419
{txt}{space 10}fe_1 {c |}{col 16}{res}{space 2}  .801728{col 28}{space 2} .3279576{col 39}{space 1}    2.44{col 48}{space 3}0.015{col 56}{space 4} .1589429{col 69}{space 3} 1.444513
{txt}{space 10}fe_2 {c |}{col 16}{res}{space 2} 1.004921{col 28}{space 2} .3543038{col 39}{space 1}    2.84{col 48}{space 3}0.005{col 56}{space 4} .3104983{col 69}{space 3} 1.699344
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
         /cut1 {c |}{col 16}{res}{space 2}-3.314905{col 28}{space 2} .3262679{col 56}{space 4}-3.954378{col 69}{space 3}-2.675431
{txt}         /cut2 {c |}{col 16}{res}{space 2}-1.898453{col 28}{space 2} .3027385{col 56}{space 4}-2.491809{col 69}{space 3}-1.305096
{txt}         /cut3 {c |}{col 16}{res}{space 2}-1.020614{col 28}{space 2} .3034344{col 56}{space 4}-1.615334{col 69}{space 3}-.4258935
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using "A6_ologit", se bracket tdec(3) append label excel
{txt}{browse `"A6_ologit.xml"'}
{browse `"C:\Users\ddoherty\Dropbox\My Work Documents\Field v. Survey Experiment Paper\Replication Archive\tables"' :dir}{com} : {txt}{stata `"seeout using "A6_ologit.txt", label"':seeout}

{com}. 
. ologit likely_to_vote treat_pos* treat_neg* fe_1 fe_2 if (likely_voter==1 | likely_voter==.) & (democrat==0 | democrat==.) & (republican==0 | republican==.), r

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1145.048}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1124.2296}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1115.4102}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1115.3894}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1115.3894}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     2,575
{txt}{col 49}Wald chi2({res}8{txt}){col 67}= {res}     64.92
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1115.3894{txt}{col 49}Pseudo R2{col 67}= {res}    0.0259

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}likely_to_vote{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}treat_pos {c |}{col 16}{res}{space 2}-.3581723{col 28}{space 2} .5154528{col 39}{space 1}   -0.69{col 48}{space 3}0.487{col 56}{space 4}-1.368441{col 69}{space 3} .6520966
{txt}treat_posXfe_1 {c |}{col 16}{res}{space 2} .6564418{col 28}{space 2} .5499363{col 39}{space 1}    1.19{col 48}{space 3}0.233{col 56}{space 4}-.4214135{col 69}{space 3} 1.734297
{txt}treat_posXfe_2 {c |}{col 16}{res}{space 2} 1.152274{col 28}{space 2} .6028911{col 39}{space 1}    1.91{col 48}{space 3}0.056{col 56}{space 4}-.0293711{col 69}{space 3} 2.333919
{txt}{space 5}treat_neg {c |}{col 16}{res}{space 2}-.7493972{col 28}{space 2} .5130259{col 39}{space 1}   -1.46{col 48}{space 3}0.144{col 56}{space 4}-1.754909{col 69}{space 3} .2561151
{txt}treat_negXfe_1 {c |}{col 16}{res}{space 2} 1.282962{col 28}{space 2} .5504652{col 39}{space 1}    2.33{col 48}{space 3}0.020{col 56}{space 4}   .20407{col 69}{space 3} 2.361854
{txt}treat_negXfe_2 {c |}{col 16}{res}{space 2} 1.545639{col 28}{space 2} .6033441{col 39}{space 1}    2.56{col 48}{space 3}0.010{col 56}{space 4} .3631059{col 69}{space 3} 2.728171
{txt}{space 10}fe_1 {c |}{col 16}{res}{space 2} .3705254{col 28}{space 2} .4596177{col 39}{space 1}    0.81{col 48}{space 3}0.420{col 56}{space 4}-.5303087{col 69}{space 3}  1.27136
{txt}{space 10}fe_2 {c |}{col 16}{res}{space 2} .5734817{col 28}{space 2} .4786305{col 39}{space 1}    1.20{col 48}{space 3}0.231{col 56}{space 4}-.3646168{col 69}{space 3}  1.51158
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
         /cut1 {c |}{col 16}{res}{space 2}-3.740088{col 28}{space 2}  .465029{col 56}{space 4}-4.651528{col 69}{space 3}-2.828648
{txt}         /cut2 {c |}{col 16}{res}{space 2}-2.309323{col 28}{space 2} .4383746{col 56}{space 4}-3.168521{col 69}{space 3}-1.450124
{txt}         /cut3 {c |}{col 16}{res}{space 2}  -1.4532{col 28}{space 2} .4427379{col 56}{space 4} -2.32095{col 69}{space 3}-.5854493
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using "A6_ologit", se bracket tdec(3) append label excel
{txt}{browse `"A6_ologit.xml"'}
{browse `"C:\Users\ddoherty\Dropbox\My Work Documents\Field v. Survey Experiment Paper\Replication Archive\tables"' :dir}{com} : {txt}{stata `"seeout using "A6_ologit.txt", label"':seeout}

{com}. 
. 
. ***Table A7: Regression Models for Estimates Reported in Figure 1 of Manuscript
. reg likely_to_vote treat_pos* treat_neg* fe_1 fe_2, r

{txt}Linear regression                               Number of obs     = {res}     3,074
                                                {txt}F(8, 3065)        =  {res}    10.99
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0355
                                                {txt}Root MSE          =    {res} .57527

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}likely_to_vote{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}treat_pos {c |}{col 16}{res}{space 2}-.0906032{col 28}{space 2} .0744974{col 39}{space 1}   -1.22{col 48}{space 3}0.224{col 56}{space 4}-.2366731{col 69}{space 3} .0554668
{txt}treat_posXfe_1 {c |}{col 16}{res}{space 2} .1345702{col 28}{space 2} .0823677{col 39}{space 1}    1.63{col 48}{space 3}0.102{col 56}{space 4}-.0269312{col 69}{space 3} .2960716
{txt}treat_posXfe_2 {c |}{col 16}{res}{space 2} .1857151{col 28}{space 2} .0860452{col 39}{space 1}    2.16{col 48}{space 3}0.031{col 56}{space 4}  .017003{col 69}{space 3} .3544271
{txt}{space 5}treat_neg {c |}{col 16}{res}{space 2}-.1181829{col 28}{space 2} .0770524{col 39}{space 1}   -1.53{col 48}{space 3}0.125{col 56}{space 4}-.2692625{col 69}{space 3} .0328966
{txt}treat_negXfe_1 {c |}{col 16}{res}{space 2} .1985705{col 28}{space 2} .0841121{col 39}{space 1}    2.36{col 48}{space 3}0.018{col 56}{space 4} .0336487{col 69}{space 3} .3634923
{txt}treat_negXfe_2 {c |}{col 16}{res}{space 2} .2203071{col 28}{space 2} .0880175{col 39}{space 1}    2.50{col 48}{space 3}0.012{col 56}{space 4} .0477279{col 69}{space 3} .3928863
{txt}{space 10}fe_1 {c |}{col 16}{res}{space 2} .1118046{col 28}{space 2}  .064739{col 39}{space 1}    1.73{col 48}{space 3}0.084{col 56}{space 4}-.0151317{col 69}{space 3} .2387409
{txt}{space 10}fe_2 {c |}{col 16}{res}{space 2} .1260504{col 28}{space 2} .0684246{col 39}{space 1}    1.84{col 48}{space 3}0.066{col 56}{space 4}-.0081122{col 69}{space 3} .2602131
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 3.674603{col 28}{space 2}  .059297{col 39}{space 1}   61.97{col 48}{space 3}0.000{col 56}{space 4} 3.558337{col 69}{space 3} 3.790869
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg using "A7_regressions", se bracket tdec(3) replace label 
{txt}
{com}. 
. reg likely_to_vote treat_pos* treat_neg* fe_1 fe_2 if (likely_voter==1 | likely_voter==.), r

{txt}Linear regression                               Number of obs     = {res}     2,905
                                                {txt}F(8, 2896)        =  {res}     4.29
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0114
                                                {txt}Root MSE          =    {res}   .535

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}likely_to_vote{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}treat_pos {c |}{col 16}{res}{space 2}-.0837424{col 28}{space 2} .0692932{col 39}{space 1}   -1.21{col 48}{space 3}0.227{col 56}{space 4}-.2196114{col 69}{space 3} .0521266
{txt}treat_posXfe_1 {c |}{col 16}{res}{space 2} .1277094{col 28}{space 2} .0776938{col 39}{space 1}    1.64{col 48}{space 3}0.100{col 56}{space 4}-.0246313{col 69}{space 3} .2800501
{txt}treat_posXfe_2 {c |}{col 16}{res}{space 2} .1788543{col 28}{space 2} .0815829{col 39}{space 1}    2.19{col 48}{space 3}0.028{col 56}{space 4} .0188879{col 69}{space 3} .3388207
{txt}{space 5}treat_neg {c |}{col 16}{res}{space 2}-.0737738{col 28}{space 2} .0696465{col 39}{space 1}   -1.06{col 48}{space 3}0.290{col 56}{space 4}-.2103356{col 69}{space 3}  .062788
{txt}treat_negXfe_1 {c |}{col 16}{res}{space 2} .1541614{col 28}{space 2} .0773861{col 39}{space 1}    1.99{col 48}{space 3}0.046{col 56}{space 4}  .002424{col 69}{space 3} .3058988
{txt}treat_negXfe_2 {c |}{col 16}{res}{space 2}  .175898{col 28}{space 2} .0816147{col 39}{space 1}    2.16{col 48}{space 3}0.031{col 56}{space 4} .0158693{col 69}{space 3} .3359267
{txt}{space 10}fe_1 {c |}{col 16}{res}{space 2}-.0092912{col 28}{space 2} .0599027{col 39}{space 1}   -0.16{col 48}{space 3}0.877{col 56}{space 4}-.1267474{col 69}{space 3}  .108165
{txt}{space 10}fe_2 {c |}{col 16}{res}{space 2} .0049547{col 28}{space 2} .0638686{col 39}{space 1}    0.08{col 48}{space 3}0.938{col 56}{space 4}-.1202777{col 69}{space 3} .1301871
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 3.795699{col 28}{space 2} .0539741{col 39}{space 1}   70.32{col 48}{space 3}0.000{col 56}{space 4} 3.689867{col 69}{space 3} 3.901531
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg using "A7_regressions", se bracket tdec(3) append label 
{txt}
{com}. 
. reg likely_to_vote treat_pos* treat_neg* fe_1 fe_2 if (democrat==0 | democrat==.) & (republican==0 | republican==.), r

{txt}Linear regression                               Number of obs     = {res}     2,649
                                                {txt}F(8, 2640)        =  {res}     9.15
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0537
                                                {txt}Root MSE          =    {res} .55774

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}likely_to_vote{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}treat_pos {c |}{col 16}{res}{space 2}-.1745027{col 28}{space 2} .1286952{col 39}{space 1}   -1.36{col 48}{space 3}0.175{col 56}{space 4}-.4268563{col 69}{space 3} .0778509
{txt}treat_posXfe_1 {c |}{col 16}{res}{space 2} .2184697{col 28}{space 2} .1334076{col 39}{space 1}    1.64{col 48}{space 3}0.102{col 56}{space 4}-.0431243{col 69}{space 3} .4800637
{txt}treat_posXfe_2 {c |}{col 16}{res}{space 2} .2696146{col 28}{space 2} .1357101{col 39}{space 1}    1.99{col 48}{space 3}0.047{col 56}{space 4} .0035058{col 69}{space 3} .5357234
{txt}{space 5}treat_neg {c |}{col 16}{res}{space 2}-.4129721{col 28}{space 2}  .142196{col 39}{space 1}   -2.90{col 48}{space 3}0.004{col 56}{space 4}-.6917989{col 69}{space 3}-.1341452
{txt}treat_negXfe_1 {c |}{col 16}{res}{space 2} .4933597{col 28}{space 2} .1461438{col 39}{space 1}    3.38{col 48}{space 3}0.001{col 56}{space 4} .2067917{col 69}{space 3} .7799277
{txt}treat_negXfe_2 {c |}{col 16}{res}{space 2} .5150963{col 28}{space 2} .1484269{col 39}{space 1}    3.47{col 48}{space 3}0.001{col 56}{space 4} .2240514{col 69}{space 3} .8061412
{txt}{space 10}fe_1 {c |}{col 16}{res}{space 2} .1435506{col 28}{space 2} .0978437{col 39}{space 1}    1.47{col 48}{space 3}0.142{col 56}{space 4}-.0483075{col 69}{space 3} .3354087
{txt}{space 10}fe_2 {c |}{col 16}{res}{space 2} .1577965{col 28}{space 2} .1003215{col 39}{space 1}    1.57{col 48}{space 3}0.116{col 56}{space 4}-.0389202{col 69}{space 3} .3545131
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 3.642857{col 28}{space 2} .0943296{col 39}{space 1}   38.62{col 48}{space 3}0.000{col 56}{space 4}  3.45789{col 69}{space 3} 3.827824
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg using "A7_regressions", se bracket tdec(3) append label 
{txt}
{com}. 
. reg likely_to_vote treat_pos* treat_neg* fe_1 fe_2 if (likely_voter==1 | likely_voter==.) & (democrat==0 | democrat==.) & (republican==0 | republican==.), r

{txt}Linear regression                               Number of obs     = {res}     2,575
                                                {txt}F(8, 2566)        =  {res}     4.12
                                                {txt}Prob > F          = {res}    0.0001
                                                {txt}R-squared         = {res}    0.0177
                                                {txt}Root MSE          =    {res} .53494

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}likely_to_vote{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}treat_pos {c |}{col 16}{res}{space 2}-.1189394{col 28}{space 2} .1135944{col 39}{space 1}   -1.05{col 48}{space 3}0.295{col 56}{space 4}-.3416854{col 69}{space 3} .1038066
{txt}treat_posXfe_1 {c |}{col 16}{res}{space 2} .1629064{col 28}{space 2} .1189073{col 39}{space 1}    1.37{col 48}{space 3}0.171{col 56}{space 4}-.0702577{col 69}{space 3} .3960704
{txt}treat_posXfe_2 {c |}{col 16}{res}{space 2} .2140513{col 28}{space 2} .1214851{col 39}{space 1}    1.76{col 48}{space 3}0.078{col 56}{space 4}-.0241676{col 69}{space 3} .4522702
{txt}{space 5}treat_neg {c |}{col 16}{res}{space 2}-.3189394{col 28}{space 2} .1416659{col 39}{space 1}   -2.25{col 48}{space 3}0.024{col 56}{space 4}-.5967305{col 69}{space 3}-.0411483
{txt}treat_negXfe_1 {c |}{col 16}{res}{space 2}  .399327{col 28}{space 2} .1456285{col 39}{space 1}    2.74{col 48}{space 3}0.006{col 56}{space 4} .1137658{col 69}{space 3} .6848882
{txt}treat_negXfe_2 {c |}{col 16}{res}{space 2} .4210636{col 28}{space 2} .1479198{col 39}{space 1}    2.85{col 48}{space 3}0.004{col 56}{space 4} .1310093{col 69}{space 3} .7111178
{txt}{space 10}fe_1 {c |}{col 16}{res}{space 2}-.0052589{col 28}{space 2}  .087015{col 39}{space 1}   -0.06{col 48}{space 3}0.952{col 56}{space 4}-.1758856{col 69}{space 3} .1653678
{txt}{space 10}fe_2 {c |}{col 16}{res}{space 2} .0089869{col 28}{space 2} .0897923{col 39}{space 1}    0.10{col 48}{space 3}0.920{col 56}{space 4}-.1670858{col 69}{space 3} .1850597
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 3.791667{col 28}{space 2} .0830434{col 39}{space 1}   45.66{col 48}{space 3}0.000{col 56}{space 4} 3.628828{col 69}{space 3} 3.954506
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg using "A7_regressions", se bracket tdec(3) append label 
{txt}
{com}. 
. 
. ***ESTIMATES FOR FIGURE 1
. reg likely_to_vote treat_pos treat_neg if fe_1==1, r

{txt}Linear regression                               Number of obs     = {res}     1,540
                                                {txt}F(2, 1537)        =  {res}     2.85
                                                {txt}Prob > F          = {res}    0.0581
                                                {txt}R-squared         = {res}    0.0037
                                                {txt}Root MSE          =    {res} .53851

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}likely_to_~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treat_pos {c |}{col 14}{res}{space 2}  .043967{col 26}{space 2} .0351191{col 37}{space 1}    1.25{col 46}{space 3}0.211{col 54}{space 4}-.0249195{col 67}{space 3} .1128534
{txt}{space 3}treat_neg {c |}{col 14}{res}{space 2} .0803876{col 26}{space 2} .0337144{col 37}{space 1}    2.38{col 46}{space 3}0.017{col 54}{space 4} .0142565{col 67}{space 3} .1465187
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.786408{col 26}{space 2} .0259682{col 37}{space 1}  145.81{col 46}{space 3}0.000{col 54}{space 4} 3.735471{col 67}{space 3} 3.837345
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo fe1
{txt}
{com}. reg likely_to_vote treat_pos treat_neg if fe_2==1, r

{txt}Linear regression                               Number of obs     = {res}       901
                                                {txt}F(2, 898)         =  {res}     3.27
                                                {txt}Prob > F          = {res}    0.0385
                                                {txt}R-squared         = {res}    0.0086
                                                {txt}Root MSE          =    {res} .50253

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}likely_to_~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treat_pos {c |}{col 14}{res}{space 2} .0951119{col 26}{space 2} .0430656{col 37}{space 1}    2.21{col 46}{space 3}0.027{col 54}{space 4} .0105908{col 67}{space 3} .1796329
{txt}{space 3}treat_neg {c |}{col 14}{res}{space 2} .1021242{col 26}{space 2} .0425527{col 37}{space 1}    2.40{col 46}{space 3}0.017{col 54}{space 4} .0186098{col 67}{space 3} .1856386
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.800654{col 26}{space 2} .0341505{col 37}{space 1}  111.29{col 46}{space 3}0.000{col 54}{space 4}  3.73363{col 67}{space 3} 3.867678
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo fe2
{txt}
{com}. reg likely_to_vote treat_pos treat_neg if survey_experiment==1, r

{txt}Linear regression                               Number of obs     = {res}       633
                                                {txt}F(2, 630)         =  {res}     1.24
                                                {txt}Prob > F          = {res}    0.2915
                                                {txt}R-squared         = {res}    0.0035
                                                {txt}Root MSE          =    {res}  .7366

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}likely_to_~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treat_pos {c |}{col 14}{res}{space 2}-.0906032{col 26}{space 2} .0745652{col 37}{space 1}   -1.22{col 46}{space 3}0.225{col 54}{space 4}-.2370296{col 67}{space 3} .0558232
{txt}{space 3}treat_neg {c |}{col 14}{res}{space 2}-.1181829{col 26}{space 2} .0771225{col 37}{space 1}   -1.53{col 46}{space 3}0.126{col 54}{space 4}-.2696311{col 67}{space 3} .0332652
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.674603{col 26}{space 2}  .059351{col 37}{space 1}   61.91{col 46}{space 3}0.000{col 54}{space 4} 3.558054{col 67}{space 3} 3.791153
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo pooled
{txt}
{com}. reg likely_to_vote treat_pos treat_neg if likely_voter==1, r

{txt}Linear regression                               Number of obs     = {res}       464
                                                {txt}F(2, 461)         =  {res}     0.81
                                                {txt}Prob > F          = {res}    0.4441
                                                {txt}R-squared         = {res}    0.0030
                                                {txt}Root MSE          =    {res} .58245

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}likely_to_~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treat_pos {c |}{col 14}{res}{space 2}-.0837424{col 26}{space 2} .0694106{col 37}{space 1}   -1.21{col 46}{space 3}0.228{col 54}{space 4}-.2201427{col 67}{space 3} .0526579
{txt}{space 3}treat_neg {c |}{col 14}{res}{space 2}-.0737738{col 26}{space 2} .0697645{col 37}{space 1}   -1.06{col 46}{space 3}0.291{col 54}{space 4}-.2108695{col 67}{space 3}  .063322
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.795699{col 26}{space 2} .0540655{col 37}{space 1}   70.21{col 46}{space 3}0.000{col 54}{space 4} 3.689453{col 67}{space 3} 3.901944
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo pooled_lvs
{txt}
{com}. reg likely_to_vote treat_pos treat_neg if independent==1, r

{txt}Linear regression                               Number of obs     = {res}       208
                                                {txt}F(2, 205)         =  {res}     4.17
                                                {txt}Prob > F          = {res}    0.0167
                                                {txt}R-squared         = {res}    0.0348
                                                {txt}Root MSE          =    {res} .85173

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}likely_to_~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treat_pos {c |}{col 14}{res}{space 2}-.1745027{col 26}{space 2}  .129413{col 37}{space 1}   -1.35{col 46}{space 3}0.179{col 54}{space 4}-.4296539{col 67}{space 3} .0806484
{txt}{space 3}treat_neg {c |}{col 14}{res}{space 2}-.4129721{col 26}{space 2} .1429891{col 37}{space 1}   -2.89{col 46}{space 3}0.004{col 54}{space 4}  -.69489{col 67}{space 3}-.1310542
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.642857{col 26}{space 2} .0948557{col 37}{space 1}   38.40{col 46}{space 3}0.000{col 54}{space 4} 3.455839{col 67}{space 3} 3.829875
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo indep
{txt}
{com}. reg likely_to_vote treat_pos treat_neg if likely_voter==1 & independent==1, r

{txt}Linear regression                               Number of obs     = {res}       134
                                                {txt}F(2, 131)         =  {res}     2.49
                                                {txt}Prob > F          = {res}    0.0868
                                                {txt}R-squared         = {res}    0.0320
                                                {txt}Root MSE          =    {res} .68671

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}likely_to_~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treat_pos {c |}{col 14}{res}{space 2}-.1189394{col 26}{space 2} .1146868{col 37}{space 1}   -1.04{col 46}{space 3}0.302{col 54}{space 4}-.3458172{col 67}{space 3} .1079384
{txt}{space 3}treat_neg {c |}{col 14}{res}{space 2}-.3189394{col 26}{space 2} .1430282{col 37}{space 1}   -2.23{col 46}{space 3}0.027{col 54}{space 4}-.6018833{col 67}{space 3}-.0359954
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.791667{col 26}{space 2}  .083842{col 37}{space 1}   45.22{col 46}{space 3}0.000{col 54}{space 4} 3.625807{col 67}{space 3} 3.957526
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo indep_lvs
{txt}
{com}. 
. ***********Figure 1: Effects of Mailer Treatments on Intent to Turnout
. coefplot (fe1,  msymbol(O) connect(none) mcolor(black) ciopts(lcolor(black) lwidth(thin) msize(vtiny)) label(Field Experiment 1)) (fe2,  msymbol(T) connect(none) mcolor(black) ciopts(lcolor(black) lwidth(thin) msize(vtiny)) label(Field Experiment 2)) (blank) (pooled,  msymbol(Oh) connect(none) mcolor(black) ciopts(lcolor(black) lwidth(thin) msize(vtiny)) label(Survey Experiment: Registered Voters)) (pooled_lvs,  msymbol(Oh) connect(none) mcolor(gs10) ciopts(lcolor(gs10) lwidth(thin) msize(vtiny)) label(Survey Exp.: Likely Voters)) (blank) (indep,  msymbol(Sh) connect(none) mcolor(black) ciopts(lcolor(black) lwidth(thin) msize(vtiny)) label(Survey Experiment: Independents)) (indep_lvs,  msymbol(Sh) connect(none) mcolor(gs10) ciopts(lcolor(gs10) lwidth(thin) msize(vtiny)) label(Survey Exp.: Independent Likely Voters))  , vertical  keep(treat_pos treat_neg)  yline(0, lcolor(black)) legend(order(2 7 4 12) region(lcolor(white) color(none)) span cols(2)  size(small)) level(95) ytitle("Effect on Intent to Turnout",  size(medsmall)) graphregion(fcolor(white) lcolor(none) ilcolor(none) color(white) lwidth(large)) xscale(lw(none))  ylabel(-.75(.25).25) 
{res}{txt}(blank: no coefficients found, all dropped, or none kept)
{res}{txt}(blank: no coefficients found, all dropped, or none kept)
{res}{p 0 4 2}
{txt}(note:  named style
large not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. graph export "fig_1_treatment_fx.eps", as(eps) replace
{txt}(file fig_1_treatment_fx.eps written in EPS format)

{com}. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\ddoherty\Dropbox\My Work Documents\Field v. Survey Experiment Paper\Replication Archive\replication_log.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}16 Nov 2018, 13:44:30
{txt}{.-}
{smcl}
{txt}{sf}{ul off}